CALOPUS - Computer Assisted LOw-cost Point-of-care UltraSound
Lead Research Organisation:
University of Oxford
Department Name: Engineering Science
Abstract
The CALOPUS project is an inter-disciplinary UK-India collaboration that aims to automate the analysis of antenatal ultrasound images to facilitate referral to the appropriate level of pregnancy care in rural settings, an important unmet need in many LMICs. Unlike in the western world, many women in India do not have an antenatal ultrasound check-up scan in the first or second trimester. Without such a check-up, health problems of the fetus and mother can go unnoticed, leading, in the worst case, to a still-birth or preterm birth. India has the highest number of still births and preterm births in the world (Lancet 2O15, 2012). Thus the ultimate clinical aim motivating this work is to reduce the burden of adverse pregnancy events and improve the health of future generations.
The approach we are taking is to use a low-cost portable imaging technology, ultrasound imaging, as the basis for a novel point-of-care (POC) system that enables a healthcare worker, with limited or no knowledge of ultrasound, to refer a patient to a clinical unit or hospital. Ultrasound scanning normally requires skill to acquire images which is a barrier to use. Our idea is to combine capture of ultrasound videos with machine learning (deep learning) to automatically interpret the content of the ultrasound videos and make the recommendation to the non-expert user. This project explores how we can do this, and will look, as well, at how we can make the technological solution culturally acceptable, and usable in the intended clinical environment.
In addition to the primary scientific endeavour, an important secondary objective will be capacity-building in point-of-care imaging in the India partner team and counter-mentoring of UK investigators in health (particularly in factors related to healthcare technology needs and adoption), and research and cultural issues that are at play in LMICs. This cross-dialogue will strengthen the international team and build mutual respect and complementary expertise.
The approach we are taking is to use a low-cost portable imaging technology, ultrasound imaging, as the basis for a novel point-of-care (POC) system that enables a healthcare worker, with limited or no knowledge of ultrasound, to refer a patient to a clinical unit or hospital. Ultrasound scanning normally requires skill to acquire images which is a barrier to use. Our idea is to combine capture of ultrasound videos with machine learning (deep learning) to automatically interpret the content of the ultrasound videos and make the recommendation to the non-expert user. This project explores how we can do this, and will look, as well, at how we can make the technological solution culturally acceptable, and usable in the intended clinical environment.
In addition to the primary scientific endeavour, an important secondary objective will be capacity-building in point-of-care imaging in the India partner team and counter-mentoring of UK investigators in health (particularly in factors related to healthcare technology needs and adoption), and research and cultural issues that are at play in LMICs. This cross-dialogue will strengthen the international team and build mutual respect and complementary expertise.
Planned Impact
Who might benefit from this research?
To ensure maximal impact we will engage with
- healthcare professionals in India who might be impacted by this research which includes radiologists, public health professionals, general physicians, gynecologists, frontline health workers (ANMs, ASHAs)
- pregnant women
- healthcare technology companies in India.
- healthcare professionals interested in healthcare policy, public health and introduction of new healthcare interventions.
How might they benefit from this research?
- the ultimate goal of the technology is to support frontline health workers in identification of high risk pregnancies.
- Pregnant women may benefit from quicker referral, access to antenatal care closer to home, and comfort (if not referred) that the pregnancy is not of concern. The system may also lead to earlier identification of problems before they become critical.
- Healthcare policy makers and professionals working in public health will be interested in understanding how this variant of POC technology might have impact if introduced into clinical practice.
To ensure maximal impact we will engage with
- healthcare professionals in India who might be impacted by this research which includes radiologists, public health professionals, general physicians, gynecologists, frontline health workers (ANMs, ASHAs)
- pregnant women
- healthcare technology companies in India.
- healthcare professionals interested in healthcare policy, public health and introduction of new healthcare interventions.
How might they benefit from this research?
- the ultimate goal of the technology is to support frontline health workers in identification of high risk pregnancies.
- Pregnant women may benefit from quicker referral, access to antenatal care closer to home, and comfort (if not referred) that the pregnancy is not of concern. The system may also lead to earlier identification of problems before they become critical.
- Healthcare policy makers and professionals working in public health will be interested in understanding how this variant of POC technology might have impact if introduced into clinical practice.
Organisations
- University of Oxford (Lead Research Organisation)
- Department of Health and Social Care (Co-funder)
- OXFORD UNIVERSITY HOSPITALS NHS FOUNDATION TRUST (Collaboration)
- Translational Health Science And Technology Institute (Collaboration)
- GE Healthcare Limited (Collaboration)
- Oxford Computer Consultants (Collaboration)
Publications
Yasrab R
(2023)
A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans.
in IEEE transactions on medical imaging
Jiao J
(2020)
Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis.
in IEEE transactions on medical imaging
Droste R
(2019)
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention.
in Information processing in medical imaging : proceedings of the ... conference
Zhu J
(2022)
The Potential Protective Role of GS-441524, a Metabolite of the Prodrug Remdesivir, in Vaccine Breakthrough SARS-CoV-2 Infections.
in Intensive care research
Maraci MA
(2020)
Toward point-of-care ultrasound estimation of fetal gestational age from the trans-cerebellar diameter using CNN-based ultrasound image analysis.
in Journal of medical imaging (Bellingham, Wash.)
Cai Y
(2020)
Spatio-temporal visual attention modelling of standard biometry plane-finding navigation.
in Medical image analysis
Zhao H
(2022)
Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data.
in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Men Q
(2022)
Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning.
in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Patra A
(2019)
Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation.
in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Savochkina E
(2021)
First Trimester Gaze Pattern Estimation Using Stochastic Augmentation Policy Search for Single Frame Saliency Prediction.
in Medical image understanding and analysis : 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings. Medical Image Understanding and Analysis (Conference) (25th : 2021 : Online)
Ryou H
(2019)
Automated 3D ultrasound image analysis for first trimester assessment of fetal health
in Physics in Medicine & Biology
Yasrab R
(2022)
End-to-end First Trimester Fetal Ultrasound Video Automated CRL and NT Segmentation.
in Proceedings. IEEE International Symposium on Biomedical Imaging
Gleed AD
(2023)
Automatic Image Guidance for Assessment of Placenta Location in Ultrasound Video Sweeps.
in Ultrasound in medicine & biology
Self A
(2020)
VP34.14: Machine learning algorithms in ultrasound: quality assurance metrics for annotations used in training
in Ultrasound in Obstetrics & Gynecology
Self A
(2021)
VP18.01: Machine learning applied to the standardised six-step approach for placental localisation in basic obstetric ultrasound
in Ultrasound in Obstetrics & Gynecology
Self A
(2020)
VP34.21: Machine learning of the basic obstetric ultrasound examination: validation of the standardised six-step approach
in Ultrasound in Obstetrics & Gynecology
Self A
(2020)
OC10.03: Computer-assisted low-cost point of care ultrasound: an intelligent image analysis algorithm for diagnosis of malpresentation
in Ultrasound in Obstetrics & Gynecology
Self A
(2020)
VP40.10: Systematic review of methodology used in second and third trimester pregnancy dating using ultrasound and symphysio-fundal height measurements
in Ultrasound in Obstetrics & Gynecology
Drukker L
(2020)
Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology.
in Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
| Description | CALOPUS was an inter-disciplinary UK-India project which aimed to develop deeper understanding of how to design, build and evaluate clinical AI assistive tools for pregnancy risk assessment in challenging clinical environments where there are no pregnancy screening programmes and diagnostic tools need to be very simple to use and low cost. The project is still on-going but the major results to-date are: 1. We have developed an original simplified scanning protocol for pregnancy screening (the CALOPUS protocol) which improves on prior protocols in terms of diagnostic use (journal article under review). 2. We have developed a protocol for manual annotation of anatomy in the scans which has been validated and annotated a large number of scans for machine learning research. 3. We have used the annotated scans to build and validate a breech detection algorithm (journal article in preparation). 4. We have used the annotated scans to develop an assistive tool that can detect the position of the placenta and determine if it is low, which is important to know to determine if the baby can be delivered safely by natural delivery (journal publication and journal front cover). 5. We are not allowed to share data between sites due to data governance rules. However we can build models using data from sites via federated analysis techniques where by you send the analysis modelling from a central server to the data at a site, perform analysis at the site, and return the updated model to the central server. We have developed a way to do this which is novel in that it can account for the quite extreme class imbalance we can have in the problems we want to model. (publication under review). |
| Exploitation Route | We are actively seeking funding opportunities to continue our research collaboration and take some of the work towards clinical translation. It is a great shame that GCRF funding has been stopped as this has been invaluable in setting up the excellent working relationship we have. We have had discussions with other funders but have not found an appropriate scheme to apply for that will fund both partners going forward as yet. Both the India and the UK teams now have strong clinical and data science teams that work well together and there is appetite to continue to work together given the effort to establish the CALOPUS dataset and the skills in developing clinical AI models that has been developed. There is a lot of interest in this area in India and a network of potential collaborators is developing which could form the basis for evaluating prototypes in the field and clinical studies. |
| Sectors | Healthcare |
| URL | https://eng.ox.ac.uk/calopus/ |
| Description | The data, annotations and machine learning methods developed on the project are being considered for clinical translation and potential commercialisation. We secured an EPSRC IAA award to consider how to develop a prototype breech detection device. Early discussions have been held on possible pathways to commercialise this device or others for LMICs which is challenging because of the need for the device to be low-cost and durable. A breech detection device may also be of value in HIC settings and this is being investigated in parallel. Within academia, medical image analysis for LMICs is an emerging research area that our group is contributing to the development of. Our India workshop series have aimed at growing capacity/interest in this area. We are also developing links with clinical groups around the world with complimentary interests. |
| First Year Of Impact | 2022 |
| Sector | Healthcare |
| Impact Types | Societal,Economic |
| Description | Elected as a Science, Engineering and Technology Board (SETB) member |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| URL | https://www.ukri.org/about-us/epsrc/how-we-are-governed/governance-and-advisory-bodies/science-engin... |
| Description | National Academies roundtable on researcher access to data |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| Description | Office for National Statistics, Integrated Data Programme Advisory Group, Member |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Impact | The sharing of data is aimed at improving use of data within government and outside for public good. |
| Description | Royal Society Privacy Enhancing Technologies (PETs) Policy Working Group, Chair |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Impact | Quoting the aims from the report "We have three objectives for this report. Our first objective is that the use cases inspire those collecting and using data to consider the potential benefits of PETs for their own work, or in new collaborations with others. Second, for the evidence we present on barriers to adoption and standardisation to help inform policy decisions to encourage a marketplace for PETs. Finally, through our recommendations, we hope the UK will maximise the opportunity to be a global leader in PETs - both for data security and collaborative analysis - alongside emerging, coordinated efforts to implement PETs in other countries." |
| URL | https://royalsociety.org/-/media/policy/projects/privacy-enhancing-technologies/From-Privacy-to-Part... |
| Description | Royal Society Privacy Enhancing Technologies Working Group - policy report published (Chair) |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Impact | The report has contributed to wider discussion of data sharing between government departments and a number of the recommendations have been followed up. It is well cited. A follow-on project is underway with the Alan Turing Institute which will report in 2022. The important message was to show that PETs are maturing as a technology and can be considered enablers to provided trusted sharing of data and to move the conversation away from security and accepting zero risk in sharing data. The work is relevant to not only may research area (health data science) but many other sectors which are data-driven. |
| URL | https://royalsociety.org/-/media/policy/projects/privacy-enhancing-technologies/privacy-enhancing-te... |
| Description | Biometry Automation in OBstetrics And Beyond (BAOBAB) |
| Amount | $531,215 (USD) |
| Funding ID | OPP1197123 |
| Organisation | Bill and Melinda Gates Foundation |
| Sector | Charity/Non Profit |
| Country | United States |
| Start | 11/2018 |
| End | 10/2020 |
| Description | Impact Acceleration Awards, Oxford University |
| Amount | £50,000 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2022 |
| End | 06/2022 |
| Description | GE Healthcare (VScan) |
| Organisation | GE Healthcare Limited |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We have secured Oxford IAA funds to buy a probe and fund a feasibility study using the Vscan. |
| Collaborator Contribution | Confidential at the present time. |
| Impact | Too early to report. |
| Start Year | 2021 |
| Description | Oxford Computer Consultants (OCC) |
| Organisation | Oxford Computer Consultants |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | OCC are a software engineering company that we have paid to develop an integrated ultrasound-based device for Gestational Age estimation that has been trialled in Kenya as part of the PRECISE consortium. The work has been funded by PRECISE and EPSRC IAA funds (original concept work was funded by the Gates Foundation). Our group in Oxford developed the AI algorithms for quality assessment and biometry. |
| Collaborator Contribution | OCC are a software engineering company that we have paid to develop an integrated ultrasound-based device for Gestational Age estimation that has been trialled in Kenya as part of the PRECISE consortium. The work has been funded by PRECISE and EPSRC IAA funds (original concept work was funded by the Gates Foundation). |
| Impact | See the webpage link. This is an interdisciplinary collaboration: medical image analysis researchers, software engineers, clinicians. We were runner-up in a national interdisciplinary award for the project in 2020. A video on the project was produced in 2021. |
| Start Year | 2018 |
| Description | Oxford University Hospitals NHS Foundation Trust - Nuffield Department of Women's and Reproductive Health |
| Organisation | Oxford University Hospitals NHS Foundation Trust |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Engineering research expertise, intellectual input. |
| Collaborator Contribution | Access to real-world data (data acquired in clinic), knowledge of clinical sonography. |
| Impact | Multiple research grants, trained personnel (clinical and engineering), supported also by academic outputs in engineering and medicine. WRH is the academic department associated with the hospital's Women's Centre. This is an inter-disciplinary collaboration between engineering and medicine. The collaboration has also led to a spin-out (Noble and Papageorghiou are co-founders of Intelligent Ultrasound Ltd founded in 2012). |
| Start Year | 2008 |
| Description | THSTI |
| Organisation | Translational Health Science And Technology Institute |
| Country | India |
| Sector | Public |
| PI Contribution | THSTI are the India partner on the CALOPUS project. |
| Collaborator Contribution | THSTI are the India partner on the CALOPUS project and bring both their own experience of conducting research in obstetric ultrasound in India to the project, and their collaborative links with hospitals in New Delhi. |
| Impact | Successfully jointly applied for the CALOPUS project |
| Start Year | 2018 |
| Description | 2021 AIUM AI Summit invited speaker |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The American Institute for Ultrasound in Medicine held an invited-only summit on AI to consider how the organisation should position itself as a leader in AI for ultrasound. I was an invited speaker at the two-day remotely held meeting and participated in discussions on the second day related to shaping the AIUM next steps. |
| Year(s) Of Engagement Activity | 2021 |
| Description | AIUM 2021 Special Session Invited Speaker |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited speaker in Session with Title: Deep Learning Applications for New Ultrasound Techniques. Talk was pre-recorded with live questions. This primary audience was medical physicists rather than medical image analysis experts. |
| Year(s) Of Engagement Activity | 2021 |
| Description | Co-organiser of ASMUS2020, a MICCAI workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Advances in Simplifying Medical UltraSound (ASMUS) 2020 is an international workshop that provides a forum for research topics around ultrasound image computing and computer-assisted interventions and robotic systems that utilize ultrasound imaging. It was held in conjunction with MICCAI 2020 in virtual form. The nineteen accepted papers were selected based on their scientific contribution, via a double-blind process involving written reviews from at least two external reviewers in addition to a member of the committee. The published work includes reports across a wide range of methodology, research and clinical applications. Advanced deep learning approaches for anatomy recognition, segmentation, registration and skill assessment are the dominant topics, in addition to ultrasound-specific new approaches in augmented reality and remote assistance. An interesting trend revealed by these papers is the merging of ultrasound probe and surgical instrument localization with robotically assisted guidance to produce increasingly intelligent systems that learn from expert labels and incorporate domain knowledge to enable increasingly sophisticated automation and fine-grained control. Two invited speakers were included in the workshop and the meeting had 80+ attendees. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://sites.google.com/view/asmus2020 |
| Description | Co-organiser of ASMUS2021, a MICCAI workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Advances in Simplifying Medical UltraSound (ASMUS) 2021 is an international workshop that provides a forum for research topics around ultrasound image computing and computer-assisted interventions and robotic systems that utilize ultrasound imaging. It was held in conjunction with MICCAI 2021 in virtual form. Accepted papers were selected based on their scientific contribution, via a double-blind process involving written reviews from at least two external reviewers in addition to a member of the committee. The published work includes reports across a wide range of methodology, research and clinical applications. Advanced deep learning approaches for anatomy recognition, segmentation, registration and skill assessment are the dominant topics, in addition to ultrasound-specific new approaches in augmented reality and remote assistance. Three invited speakers were included in the workshop, and live demos of technologies were given. The meeting had 80+ attendees. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://miccai-ultrasound.github.io/#/asmus21 |
| Description | Distinguished Keynote Speaker in Biomedical and Health Data Science in two joint conferences of IEEE EMBS BHI and BSN 2021 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Keynote talk entitled: Simplifying interpretation and acquisition of ultrasound scans, delivered virtually. Abstract: Short Abstract: With the increased availability of low-cost and handheld ultrasound probes, there is interest in simplifying interpretation and acquisition of ultrasound scans through deep-learning based analysis so that ultrasound can be used more widely in healthcare. However, this is not just "all about the algorithm", and successful innovation requires inter-disciplinary thinking and collaborations. In this talk I will overview progress in this area drawing on examples of my laboratory's experiences of working with partners on multi-modal ultrasound imaging, and building assistive algorithms and devices for pregnancy health assessment in high-income and low-and-middle-income country settings. Emerging topics in this area will also be discussed. |
| Year(s) Of Engagement Activity | 2021 |
| Description | Frontiers of Engineering for Development (Vietnam) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Royal Academy of Engineering organised Frontiers of Engineering for Development meeting held in Vietnam. Aimed at bringing together ECR and mid-career researchers with different backgrounds together to discuss challenges in healthcare technology innnovation for low and middle income setting countries. Keynote lectures, activities and an opportunity to pitch for seed grants to work on a problem suggested from new understanding developed at the meeting. I co-chaired the meeting. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.raeng.org.uk/policy/partnerships/international-policy-and-development/gcrf-international... |
| Description | ISBI2021 Virtual Challenges: Organisers - A-AFMA Ultrasound Challenge: Automatic amniotic fluid measurement and analysis from ultrasound video |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | 'Automatic amniotic fluid measurement and analysis from ultrasound video' (A-AFMA) was launched in November 2020. The imaging challenge is using ultrasound video data acquired at the John Radcliffe Hospital in Oxford and was designed to incorporate new best practice (Biomedical Image Analysis Challenges, Medical Image Analysis, 2020) guidelines. The overall aim is to automate amniotic fluid measurement, as estimated using the single deepest vertical pocket (SDVP) method. Task 1 requires detection and classification of amniotic fluid and maternal bladder, then in Task 2 participants provide landmarks for SDVP calculation. A-AFMA was selected following peer review as an ISBI 2021 scientific challenge; giving added visibility and an affiliated (virtual) half-day workshop to be run in April 2021. A-AFMA is being promoted via mailing lists and social media, as well as to the 400 participants of a 2020 challenge that AN co-organised. As of March 2021, 142 teams have registered. We will be publishing a paper based on the challenge (including contributions from winning teams), to be submitted in September 2021. |
| Year(s) Of Engagement Activity | 2020,2021 |
| URL | https://a-afma.grand-challenge.org/ |
| Description | ISUOG 2020 AI in Ultrasound lecture |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited lecture on AI in Ultrasound in the AI symposium of the International Society of Ultrasound in Obstetrics and Gynecology annual international conference. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Imaging Challenge featured in Computer Vision News |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | Drs Chen and Self were interviewed by the online magazine Computer Vision News about the purpose and background to the A-AFMA Ultrasound Challenge. The magazine has over 1000 Twitter followers. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.rsipvision.com/ComputerVisionNews-2021March/20/ |
| Description | Innovative solutions for maternal and child health using medical image analysis and Artificial Intelligence |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The main aim of the workshop was to discuss the scope of medical image analysis for augmenting research to find innovative solutions in Maternal and Child Health. The first day focused on identifying research questions where image-based analytics could be a solution for both clinical needs and biological questions, and highlighted existing and potential novel approaches of evidence generation to translate technological solutions to the clinic. Day 2 focused on the methods to develop various image-based technologies that can be used to solve healthcare problems including advantages and limitations of each. A dedicated session on hands-on problem solving using a real-world image dataset to answer one of the questions identified during the workshop was also held as part of a capacity-building initiative to get more researchers involved in AI in medical imaging (attendance approximately 20 ECRs). A follow-on workshop will be held in early 2021. The meeting was highlighted in India and the UK as part of International Women's day. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Inspirational Engineer Talk - University of Cambridge |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | Invited talk on my career and research given in at in invited lecture at the Department of Engineering, University of Cambridge. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Invited talk at CVPR 2019 workshop |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited talk given at CVPR 2019 workshop |
| Year(s) Of Engagement Activity | 2019 |
| Description | Invited talk at IEEE ISBI 2019 Special Session entitled "Imaging for Developing Countries" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Intended purpose was to bring together researchers in medical image analysis interested or working in global health imaging/image analysis to encourage others to consider working in this space and discuss progress in the area. |
| Year(s) Of Engagement Activity | 2019 |
| Description | MIUA 2021 Conference - co-organiser |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | MIUA is a UK-based international conference for the communication of image processing and analysis research and its application to medical imaging and biomedicine. This was the 25th edition of the meeting which was held virtually. 40 papers were presented (27k downloads as of 09-03-2022). MIUA is the principal UK forum for communicating research progress within the community interested in image analysis applied to medicine and related biological science. The meeting is designed for the dissemination and discussion of research in medical image understanding and analysis, and aims to encourage the growth and raise the profile of this multi-disciplinary field by bringing together the various communities including among others: |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://miua2021.com/ |
| Description | MIUA2020 Conference - co-organiser |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | MIUA is a UK-based international conference for the communication of image processing and analysis research and its application to medical imaging and biomedicine. This was the 24th edition of the meeting which was held virtually. MIUA is the principal UK forum for communicating research progress within the community interested in image analysis applied to medicine and related biological science. The meeting is designed for the dissemination and discussion of research in medical image understanding and analysis, and aims to encourage the growth and raise the profile of this multi-disciplinary field by bringing together the various communities including among others: |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://miua2020.com/ |
| Description | NIHR Point of Care Ultrasound workshop (Birmingham) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | I gave a talk at a clinical workshop looking at how point of care US might be introduced outside of traditional hospital uses. Meeting aimed to educate clinical practioners working in primary care to think about how US might be used in the future and encourage them to consider being part of trials of new innovations. |
| Year(s) Of Engagement Activity | 2019 |
| Description | National Academies roundtable on researcher access to data |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | The National Academies Data Reform Round Table was a by invitation meeting that discussed some of the current challenges that researchers face with getting access to data for research due to current data protection regulation. The Department for Digital, Culture, Media and Sport (DCMS) was consulting on reforming the UK's data protection regime which formed part of a larger effort to implement the government's National Data Strategy, and specifically Mission 2 of that strategy: 'supporting a pro-growth and trusted data regime'. This issue affects researchers working in computer vision and medical image analysis and this was part of the discussion. In terms of impact/outcome, the meeting output fed into a response that hopefully will have influence (how direct can not be measured/it is too early to determine but I selected this box in the next question for this reason). |
| Year(s) Of Engagement Activity | 2021 |
| Description | National Academies' party conference event speaker |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Speaker on the (virtual) National Academies panel at the Liberal Democrat political party conference which focused on the theme of 'Becoming a "science superpower": will the UK be fit to tackle the next global crisis?'. Briefing: The panel discussions will address how the UK should approach the future, building resilience to future crises and achieving 'superpower' status. The panel will include leading experts representing the National Academies, as well as representatives from the political parties and a journalist Chair. Not aware of any direct impact (see next week) but these sessions are an important part of keeping an open and positive dialogue with MPs. |
| Year(s) Of Engagement Activity | 2021 |
| Description | OSPREA Research group |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | The aims and objectives of the grant were presented to a group of 14 research midwives working at the John Radcliffe in Oxford where the topic of early fetal anomaly ultrasound was discussed. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Office for National Statistics, Integrated Data Programme Advisory Group, Member, |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Other audiences |
| Results and Impact | The Office for National Statistics Integrated Data Programme Advisory Group offers advise to the ONS on its programme aimed at sharing data for pubic good with other organisations. I was invited due to my role as Chair of the Royal Society PETs science policy work together with my research interest in health data science/medical image analysis. |
| Year(s) Of Engagement Activity | 2021,2022 |
| Description | PRAIRIE Summer School talk (Paris) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Gave a talk at the postgraduate summer school attended largely by computer science students interested in AI and not with a healthcare focus with questions afterwards. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Reproductive Health Specialty Delivery Meeting for the North West Coast Clinical Research Network |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | The NIHR grant and the ACAS study were presented to the team. There was huge interest in to this topic where feedback was obtained to help guide the research, but in addition three sites in the North West have joined the ACAS study and will be carrying out this study in their sites. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Royal Society Privacy Enhancing Technologies (PETs) Policy Working Group - Chair |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Royal Society Privacy Enhancing Technologies (PETs) Policy Working Group (policy report), Chair, 2017-19. Also Chair of follow-on to initial report, 2021-. |
| Year(s) Of Engagement Activity | 2019,2020,2021,2022 |
| URL | https://royalsociety.org/-/media/policy/projects/privacy-enhancing-technologies |
| Description | Royal Society Privacy Enhancing Technologies (PETs) Policy Working Group - Chair |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Royal Society Privacy Enhancing Technologies (PETs) Policy Working Group (policy report), Chair, 2017-19. Also Chair of follow-on to initial report, 2021-. |
| Year(s) Of Engagement Activity | 2019,2020,2021,2022 |
| URL | https://royalsociety.org/-/media/policy/projects/privacy-enhancing-technologies |
| Description | Royal Society-Chinese Academy of Sciences AI policy dialogue Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Speaker at International by-invitation Royal Society and Chinese Academy of Sciences AI policy dialogue workshop held in september 2020. A short write up on the meeting is being prepared and will be available in 2021. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Royal Society/Government Chief Scientific Advisors meeting discussing PETs |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | Dinner discussion about PETs and potential future short terms uses of them across government departments. I presented an overview of the policy report that I chaired. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Sixth Form Schools Science Talk |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | Gave talk to lower sixth form students at Magdalen College School on my research. This was part of their lecture series related to the lower sixth form project which provides them with experience of researching a topic. Lots of interesting questions particularly about the global health angle of the research/potential impact and ethics of using AI. In fact the quality of questions was much higher than most technical audience ones! Teacher followup said there was good discussion afterwards. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Special Interest Ultrasound Group Annual meeting (Oslo) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | National ultrasound specialist interest group annual meeting in Oslo with participants from medical and NDE backgrounds, primarily industry focussed. I was one of two overseas guest speaks at the two day event. |
| Year(s) Of Engagement Activity | 2019 |
| Description | St Hughs College Donors Dinner |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Supporters |
| Results and Impact | Short talk as part of college donors dinner event which sparked questions and discussions afterwards. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Talk (AI@Oxford) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Speaker in a healthcare session of AI@Oxford conference and discussions with some participants afterwards |
| Year(s) Of Engagement Activity | 2019 |
| Description | Women's Centre Research Strategy Group at the John Radcliffe Hospital |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Other audiences |
| Results and Impact | A summary of work being carried out was presented to the Research Strategy group to inform them of the research being carried out. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Workshop: Development, evaluation and reporting strategies of AI algorithms in maternal and child health |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Three-day workshop held in person in New Delhi, India, and online. There were 4 keynote lectures and four panel discussions, including senior researchers from the UK, USA and India, and early career researchers and clinicians. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://us02web.zoom.us/webinar/register/WN_x-_ZOP8ATkSz9bTdtFQe9w |
| Description | Workshop: The role of AI in transforming healthcare |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | This was a large interdisciplinary workshop in Goa, India organised by the India partner (THSTI). 60 people in person / 400 virtually (academics, postgraduate students, clinicians, funding body representatives, industry representative) attended a workshop entitled: The role of AI in transforming healthcare This is the third workshop in the series in which we discussed more details on technical challenges and potential solutions as well as challenges in implementing the AI algorithms on a large scale in public health. Day 1 focussed on technological themes and the discussions were on explainability, generalizability, data bias and data sharing (federated learning). There was a keynote presentation, discussions and demonstrations of the key algorithms. Day 2 focussed on the implementation themes and included talks on the successful implementations of such algorithms and learnings from such experiences. Later in the day there were discussions on issues related to democratisation and trustworthiness of AI algorithms. Both days featured abstract/poster presentations by young investigators and students. |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://www.garbhinicohort.in/workshop/ |