总结机器学习在医疗领域的最新进展与挑战，来自ML4H 2024研讨会的圆桌讨论。
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium
- 通过13场圆桌会，汇聚资深与青年研究者深度交流。
- 共设13个议题，由13位资深专家与27位青年主持引导。
- 适合关注医疗AI前沿与跨领域合作的研究者参考。
第四届机器学习于健康（ML4H）研讨会于2024年12月15日至16日在加拿大不列颠哥伦比亚省温哥华举行，该地为穆斯夸姆、斯夸米什和特莱尔-瓦图斯原住民的祖传土地。会议设有研究圆桌环节，促进参会者与资深研究人员就当前及关键议题展开对话。圆桌组织涵盖13位资深主持人与27位青年主持人，分属13个主题小组。每场圆桌包括一位特邀资深主持人（在该领域有丰富经验）、多位青年主持人（负责引导讨论），以及来自不同背景的参与者，均对特定主题感兴趣。
原文摘要 · Abstract (English)
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.
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