Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium
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.
View on arXiv@article{adibi2025_2502.06693,
title={ Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium },
author={ Amin Adibi and Xu Cao and Zongliang Ji and Jivat Neet Kaur and Winston Chen and Elizabeth Healey and Brighton Nuwagira and Wenqian Ye and Geoffrey Woollard and Maxwell A Xu and Hejie Cui and Johnny Xi and Trenton Chang and Vasiliki Bikia and Nicole Zhang and Ayush Noori and Yuan Xia and Md. Belal Hossain and Hanna A. Frank and Alina Peluso and Yuan Pu and Shannon Zejiang Shen and John Wu and Adibvafa Fallahpour and Sazan Mahbub and Ross Duncan and Yuwei Zhang and Yurui Cao and Zuheng Xu and Michael Craig and Rahul G. Krishnan and Rahmatollah Beheshti and James M. Rehg and Mohammad Ehsanul Karim and Megan Coffee and Leo Anthony Celi and Jason Alan Fries and Mohsen Sadatsafavi and Dennis Shung and Shannon McWeeney and Jessica Dafflon and Sarah Jabbour },
journal={arXiv preprint arXiv:2502.06693},
year={ 2025 }
}