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Fairness of AI in Medical Imaging

description

An independent academic initiative

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FAIMI

author

Aasa Feragen, Andrew King, Ben Glocker, Daniel Moyer, Enzo Ferrante, Eike Petersen, Melanie Ganz-Benjaminsen, Veronika Cheplygina

updated

2026-02-21 10:28:26

raw text

FAIMI | Fairness of AI in Medical Imaging Fairness of AI in Medical Imaging | FAIMI Fairness of AI in Medical Imaging An independent academic initiative FAIMI Home 2024 Online Workshop 2024 MICCAI Workshop 2024 ISBI Tutorial 2023 Online Workshop 2023 MICCAI Workshop 2022 Online Workshop Resources Newsletter Research on fairness, equity, and accountability in the context of machine learning has extensively demonstrated ethical risks in the deployment of such systems, including for medical image analysis. In a series of interdisciplinary events, our aim is to advance the discourse around fairness issues in the medical image analysis community. Organizers Aasa Feragen , DTU Compute, Technical University of Denmark Andrew King , King’s College London Ben Glocker , Imperial College London Daniel Moyer , Vanderbilt University Enzo Ferrante , CONICET, Universidad Nacional del Litoral Eike Petersen , Fraunhofer Institute for Digital Medicine MEVIS, Germ...

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