AI in Healthcare Showcase: Lightning Presentations

The King's Institute for Artificial Intelligence brings together the diverse and growing community in artificial intelligence (AI) at King's College London.

King’s Institute for Artificial Intelligence

Watch a series of short presentations on uses of AI in a healthcare setting.

London Institute for Healthcare Engineering - LIHE

King’s Festival of Artificial Intelligence

The King's Festival of Artificial Intelligence is returning between Tuesday 21 & Saturday 25 May 2024, with a series of public events, including lectures, workshops and demonstrations, exploring artificial intelligence with researchers from across King's.

<p>Join us for a series of short presentations delivered by a range of experts in healthcare from across King’s College London. Speakers will present on a range of case study uses of AI in healthcare.</p><p>Some understanding of AI principles will be useful to enjoy this event. This event may be of particular interest to healthcare researchers, clinicians, policy makers and others with an interest in healthcare and digital health innovation.</p><p><a href="https://www.eventbrite.co.uk/e/1291142515019?aff=oddtdtcreator" title="https://www.eventbrite.co.uk/e/1291142515019?aff=oddtdtcreator" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Register on Eventbrite</a>.</p><h4>Linda Bryant: <em><em>AI for Mental Health: Can We Predict Ketamine Response?</em></em></h4><p>This lightning presentation will explore the intersection of AI and psychiatry, focusing on the use of machine learning to predict individual responses to ketamine treatment for treatment-resistant depression. Insights will be shared into how neuroimaging and clinical data can be leveraged to build predictive models, highlighting the potential of AI to move psychiatry away from trial-and-error treatment approaches and toward precision medicine.</p><p>Acknowledgements: This project is a collaborate effort involving the <a href="https://www.kcl.ac.uk/research/artificial-intelligence-in-mental-health-aim" title="https://www.kcl.ac.uk/research/artificial-intelligence-in-mental-health-aim" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Artificial Intelligence in Mental Health</a> (AIM) Lab at King’s, and is supported by the ESPRC DRIVE Health programme.</p><h4>Dr Zina Ibrahim: <em><em>Bias Mitigation in Medical AI: The Case of Early Warning in General Hospital Wards.</em></em></h4><p>This lightning presentation will explore the feasibility of implementing a hybrid methodology to improve bias mitigation of adverse clinical events via early warning systems operating in general hospital wards. This work aims to enhance existing AI-based forecasting models by addressing 3 key biases that impair model performance, including statistical and structural bias. In this presentation you’ll hear the approach being taken to mitigate this, which results demonstrate show improved performance over standard models, explainability, and alignment with clinical requirements.</p><h4>Dr Yunpeng Li: <em><em>Towards Trustworthy Dental AI in Radiographic Interpretation.</em></em></h4><p>This lightning presentation will explore a research project led by King’s to develop an AI software assistant to support dentists in diagnosing and reporting a range of pathologies or abnormalities commonly encountered on dental X-rays. The internal testing platform, accessible at <a href="/app/projects/website/entries/becertain.ai" title="/app/projects/website/entries/becertain.ai" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">becertain.ai</a>, can be simply integrated with most existing dental imaging software. The platform prioritises data protection and features calibrated diagnostic confidence levels, crucial for ambiguous cases.</p><p>Acknowledgements: The project is supported by an NIHR Invention for Innovation Product Development Award.</p><h4>Dr Teresa Tsakok, Dr Marc Modat &amp; Benjamin Murray: <em><em>Empowering Patients Through Intelligent Skin Imaging.</em></em></h4><p>This lightning presentation will explore the mission of St John’s Institute of Dermatology to use AI-enabled digital technologies to empower people with skin conditions across ages, stages, and skin types. You’ll hear about:</p><ul><li>The opportunity for an AI-enabled paradigm shift in the care pathway for skin conditions.</li><li>Proof-of-concept data testing a novel AI model to automatically assess a common inflammatory skin condition.</li><li>How the team are building on an existing ‘mySkin’ digital tool for use in multiple skin conditions across communities and the healthcare ecosystem.</li></ul>

<h3>Speakers</h3><p><a href="https://www.kcl.ac.uk/people/linda-bryant" title="https://www.kcl.ac.uk/people/linda-bryant" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Linda Bryant</a> is a PhD student in the Artificial Intelligence in Mental Health (AIM) Lab in the Institute of Psychiatry, Psychology &amp; Neuroscience, King’s College London. Her research focuses on applying AI to explore the interface between Parkinson’s disease and psychosis. Her work involves developing machine learning models aimed at enhancing early diagnosis and intervention strategies for neurodegenerative and mental health conditions.</p><p><a href="https://kclpure.kcl.ac.uk/portal/en/persons/zina.ibrahim" title="https://kclpure.kcl.ac.uk/portal/en/persons/zina.ibrahim" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Dr Zina Ibrahim</a> is Senior Lecturer in Artificial Intelligence for Medicine in the Institute of Psychiatry, Psychology &amp; Neuroscience, King’s College London. Her research spans the theoretical foundations and applications of knowledge representation, machine learning, and multi-agent systems, specifically in biological knowledge discovery, healthcare delivery, and e-health infrastructures.</p><p><a href="https://www.kcl.ac.uk/people/yunpeng-li" title="https://www.kcl.ac.uk/people/yunpeng-li" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Dr Yunpeng Li</a> is a Reader in AI and Digital Oral Health in the Faculty of Dentistry, Oral &amp; Craniofacial Sciences, King’s College London. His main research interest is in the development of trustworthy, uncertainty-aware machine learning solutions for real-world applications, particularly in dental and oral health. His current research develops methodologies and products for applications including dental and oral health, biodiversity, and computational statistics.</p><p><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.kcl.ac.uk%2Fpeople%2Fmarc-modat&amp;data=05%7C02%7Ccatherine.healy%40kcl.ac.uk%7C4f02f6f0ff83472a1e6908dd68631a87%7C8370cf1416f34c16b83c724071654356%7C0%7C0%7C638781497031216151%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=r1DpQsyzJEcGepIDXrDYa%2BEQJuEyxXNCEutO3oqEmA4%3D&amp;reserved=0" title="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.kcl.ac.uk%2Fpeople%2Fmarc-modat&amp;data=05%7C02%7Ccatherine.healy%40kcl.ac.uk%7C4f02f6f0ff83472a1e6908dd68631a87%7C8370cf1416f34c16b83c724071654356%7C0%7C0%7C638781497031216151%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=r1DpQsyzJEcGepIDXrDYa%2BEQJuEyxXNCEutO3oqEmA4%3D&amp;reserved=0" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Dr Marc Modat</a> is a Reader in the Faculty of Life Sciences &amp; Medicine, King’s College London. He is an expert in medical image registration and the main developer of NiftyReg, an open-source software for efficient image registration. His research interests include the development of novel imaging biomarkers, especially for monitoring the elderly brain, using magnetic resonance imaging or positron emission tomography.</p><p><a href="https://kclpure.kcl.ac.uk/portal/en/persons/benjamin.murray" title="https://kclpure.kcl.ac.uk/portal/en/persons/benjamin.murray" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Benjamin Murray</a> is a PhD student in the Faculty of Life Sciences &amp; Medicine, King’s College London. His research focuses on leveraging vast amounts of non-annotated healthcare data to improve on tasks where only a few samples with ground truth are available. He is also an experienced software architect and core developer of project MONAI, an open-source library for AI with healthcare data such as radiology data, photography, or video streams.</p><p><a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fkclpure.kcl.ac.uk%2Fportal%2Fen%2Fpersons%2Fteresa.tsakok&amp;data=05%7C02%7Ccatherine.healy%40kcl.ac.uk%7C4f02f6f0ff83472a1e6908dd68631a87%7C8370cf1416f34c16b83c724071654356%7C0%7C0%7C638781497031193006%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=6vyeC3dAZztGhY%2BbfzXaMuimHVL4KKBul0NdyazIvfI%3D&amp;reserved=0" title="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fkclpure.kcl.ac.uk%2Fportal%2Fen%2Fpersons%2Fteresa.tsakok&amp;data=05%7C02%7Ccatherine.healy%40kcl.ac.uk%7C4f02f6f0ff83472a1e6908dd68631a87%7C8370cf1416f34c16b83c724071654356%7C0%7C0%7C638781497031193006%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=6vyeC3dAZztGhY%2BbfzXaMuimHVL4KKBul0NdyazIvfI%3D&amp;reserved=0" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Dr Teresa Tsakok</a> is an NIHR Clinical Lecturer and Dermatology Specialist Registrar at St John’s Institute of Dermatology, King’s College London and Guys’ and St Thomas’ NHS Foundation Trust. Her work has broadly centred around immunomodulatory therapy in immune-related disease. From 2020-21 she acted as Immune Lead for the scientific due diligence team to the UK COVID-19 Therapeutics Advisory Panel and in 2023 she was awarded an AstraZeneca-Medical Research Council Fellowship.</p>

<h3>King's Festival of Artificial Intelligence</h3><p>This event is part of the <a href="https://www.kcl.ac.uk/events/series/the-kings-festival-of-artificial-intelligence-20-24-may-2025" title="https://www.kcl.ac.uk/events/series/the-kings-festival-of-artificial-intelligence-20-24-may-2025" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">King’s Festival of Artificial Intelligence</a>. Running from Tuesday 20 May to Saturday 24 May, the free, five-day festival brings together a diverse line-up of experts to consider critical questions about artificial intelligence in the context of healthcare, education, sustainability, policy, and creativity.</p><p>If you are interested in this event, you may also want to join us for:</p><ul><li><a href="https://www.kcl.ac.uk/events/explainable-ai-for-health-medicine" title="https://www.kcl.ac.uk/events/explainable-ai-for-health-medicine" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Explainable AI for Health and Medicine</a> (online)</li><li><a href="https://www.kcl.ac.uk/events/how-artificial-super-intelligence-will-solve-human-disease" title="https://www.kcl.ac.uk/events/how-artificial-super-intelligence-will-solve-human-disease" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">How Artificial Super Intelligence Will Solve Human Disease</a> (online)</li><li><a href="https://www.kcl.ac.uk/events/ai-and-healthcare-your-questions-answered" title="https://www.kcl.ac.uk/events/ai-and-healthcare-your-questions-answered" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">AI and Healthcare: Your Questions Answered</a></li><li><a href="https://www.kcl.ac.uk/events/barriers-to-accessing-health-data-for-ai-research-in-the-uk" title="https://www.kcl.ac.uk/events/barriers-to-accessing-health-data-for-ai-research-in-the-uk" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Barriers to Accessing Health Data For AI Research</a> panel and the <a href="https://www.kcl.ac.uk/events/generative-ai-in-healthcare-enhancing-decision-making-and-patient-outcomes" title="https://www.kcl.ac.uk/events/generative-ai-in-healthcare-enhancing-decision-making-and-patient-outcomes" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Generative AI in Healthcare: Enhancing Decision-Making and Patient Outcomes</a> talk, and <a href="https://www.kcl.ac.uk/events/learning-across-millions-of-patients-platforms-and-applications-in-acute-care" title="https://www.kcl.ac.uk/events/learning-across-millions-of-patients-platforms-and-applications-in-acute-care" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Learning Across Millions of Patients: Platforms and Applications in Acute Care</a>, also taking place at the London Institute for Healthcare Engineering</li><li><a href="https://www.kcl.ac.uk/events/reimagining-placements-a-hypothetical-gp-surgery-using-ai-interaction" title="https://www.kcl.ac.uk/events/reimagining-placements-a-hypothetical-gp-surgery-using-ai-interaction" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Reimagining Placements: A Hypothetical GP Surgery Using AI Interaction</a></li></ul><p>Festival events will take place across several King’s venues, so please check carefully where the event is taking place. Festival event times may be subject to change. Any changes will be communicated to attendees via Eventbrite emails.</p><p>Please note, King's events are free, which means we routinely overbook to allow for no-shows and avoid empty seats. Admission is on a first come, first served basis, so please arrive in good time to avoid disappointment. We will not be able to admit those without tickets or latecomers.</p>

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AI in Healthcare Showcase: Lightning Presentations

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AI in Healthcare Showcase: Lightning Presentations

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