Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium
Journal:
arXiv
Published Date:
Feb 10, 2025
Abstract
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.
