Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
Abstract
The third ML4H symposium was held in person on December 10, 2023, in New Orleans, Louisiana, USA. The symposium included research roundtable sessions to foster discussions between participants and senior researchers on timely and relevant topics for the \ac{ML4H} community. Encouraged by the successful virtual roundtables in the previous year, we organized eleven in-person roundtables and four virtual roundtables at ML4H 2022. The organization of the research roundtables at the conference involved 17 Senior Chairs and 19 Junior Chairs across 11 tables. Each roundtable session included invited senior chairs (with substantial experience in the field), junior chairs (responsible for facilitating the discussion), and attendees from diverse backgrounds with interest in the session's topic. Herein we detail the organization process and compile takeaways from these roundtable discussions, including recent advances, applications, and open challenges for each topic. We conclude with a summary and lessons learned across all roundtables. This document serves as a comprehensive review paper, summarizing the recent advancements in machine learning for healthcare as contributed by foremost researchers in the field.
Keywords
Cite
@article{arxiv.2403.01628,
title = {Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium},
author = {Hyewon Jeong and Sarah Jabbour and Yuzhe Yang and Rahul Thapta and Hussein Mozannar and William Jongwon Han and Nikita Mehandru and Michael Wornow and Vladislav Lialin and Xin Liu and Alejandro Lozano and Jiacheng Zhu and Rafal Dariusz Kocielnik and Keith Harrigian and Haoran Zhang and Edward Lee and Milos Vukadinovic and Aparna Balagopalan and Vincent Jeanselme and Katherine Matton and Ilker Demirel and Jason Fries and Parisa Rashidi and Brett Beaulieu-Jones and Xuhai Orson Xu and Matthew McDermott and Tristan Naumann and Monica Agrawal and Marinka Zitnik and Berk Ustun and Edward Choi and Kristen Yeom and Gamze Gursoy and Marzyeh Ghassemi and Emma Pierson and George Chen and Sanjat Kanjilal and Michael Oberst and Linying Zhang and Harvineet Singh and Tom Hartvigsen and Helen Zhou and Chinasa T. Okolo},
journal= {arXiv preprint arXiv:2403.01628},
year = {2024}
}
Comments
ML4H 2023, Research Roundtables