Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium
Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur, Winston Chen, Elizabeth Healey, Brighton Nuwagira, Wenqian Ye, Geoffrey Woollard, Maxwell A Xu, Hejie Cui, Johnny Xi, Trenton Chang, Vasiliki Bikia, Nicole Zhang, Ayush Noori, Yuan Xia, Md. Belal Hossain, Hanna A. Frank, Alina Peluso, Yuan Pu, Shannon Zejiang Shen, John Wu, Adibvafa Fallahpour, Sazan Mahbub, Ross Duncan, Yuwei Zhang, Yurui Cao, Zuheng Xu, Michael Craig, Rahul G. Krishnan, Rahmatollah Beheshti, James M. Rehg, Mohammad Ehsanul Karim, Megan Coffee, Leo Anthony Celi, Jason Alan Fries, Mohsen Sadatsafavi, Dennis Shung, Shannon McWeeney, Jessica Dafflon, Sarah Jabbour
TL;DR
The ML4H 2024 roundtables illuminate critical directions for health-focused AI: advancing multimodal foundation models that robustly integrate heterogeneous data while navigating privacy and clinical validity; embedding causal reasoning and standardized benchmarks to ensure reliable predictions; addressing data standardization, bias, and fairness; and bridging research with deployment through interdisciplinary teams, governance, and stakeholder engagement. The discussions underscore the need for context-aware AI in clinical workflows, scalable oversight, and equitable partnerships with LMICs, alongside educational reform to foster epistemic humility and responsible innovation. Collectively, the roundtables chart a path toward deployable, trustworthy AI tools that reflect real-world clinical needs and diverse patient populations. The insights offer concrete directions for future benchmarks, data infrastructure, regulatory considerations, and cross-sector collaboration to accelerate safe, effective AI in health.
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.