Kick-off Meeting for Research Priority Area: AI for Health Decision-Making

University of Amsterdam

Kick-off Meeting for interdisciplinary research hub dedicated to AI for Health Decision-Making

Science Park Campus University of Amsterdam

Over the next 15 years, health expenditures are expected to outpace GDP growth in almost every OECD country. With AI, we can increase efficiency in healthcare and improve quality and safety. Although still in its infancy, the use of AI in healthcare has enormous potential: it can be used to automate routine and simple tasks and to support decision-making for complex problems.UvA Research Priority Area AI for Health Decision-Making aims at strengthening the responsible development and application of AI in healthcare. This initiative brings together researchers from the fields of Science, Medicine, Law and the Humanities. To achieve this goal, UvA and Amsterdam UMC have established an interdisciplinary research hub by pooling expertise and resources from different faculties and incorporating them into their long-term research plans. This effort aims to expand the use of AI in health decision-making beyond the domains of science and health faculties to create a truly interdisciplinary project.The program consortium is pleased to announce the AI for Health Decision-Making kick-off meeting. Talks by our guest speakers will be interspersed with individual and collaborative project presentations from PhD students. This kick-off meeting will provide an excellent opportunity for researchers, students, and industry professionals to connect, share ideas, and collaborate on the development of this exciting research field. We invite all interested parties to attend and contribute to this important conversation.

Agenda

Opening

Assessing publicly available medical datasets (Presentation + Q&A)

On data management of clouds for ICU data

AI models for decision-making at the ICU

Keynote: AI and electronic health records: A marriage made heaven or hell?

Coffee break

 Identifying patients at risk of heart failure from single lead ECG

Keynote: Learning to Trust AI in Cardiology

Lunch

Legal Perspectives on AI, Explainability and Informed Consent

Data Bodies: Critical Humanities Research on Medical AI Development

Keynote: AI for medical decision-making: legal perspective

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Kick-off Meeting for Research Priority Area: AI for Health Decision-Making

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Kick-off Meeting for Research Priority Area: AI for Health Decision-Making

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