mlsanityData to 14 Oct 2026

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium

arXiv 2502.06693 ↗First posted 10 Feb 2025cs.LG cs.AI cs.CYcited by 0

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Abstract (arXiv)

The fourth Machine Learning for Health (ML4H) symposium was held in person on December 15th and 16th, 2024, in the traditional, ancestral, and unceded territories of the Musqueam, Squamish, and Tsleil-Waututh Nations in Vancouver, British Columbia, Canada. The symposium included research roundtable sessions to foster discussions between participants and senior researchers on timely and relevant topics for the ML4H community. The organization of the research roundtables at the conference involved 13 senior and 27 junior chairs across 13 tables. Each roundtable session included an invited senior chair (with substantial experience in the field), junior chairs (responsible for facilitating the discussion), and attendees from diverse backgrounds with an interest in the session's topic.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 19 of its 90 references that are in the map. First posted on arXiv 10 Feb 2025.

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19 of 90 references.

References · 19

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7 more
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