Summary of Recent Advances, Applications, and Open Challenges in Machine Learning For Health: Reflections From Research Roundtables at Ml4h 2023 Symposium, by Hyewon Jeong et al.
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
by Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapta, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason Fries, Parisa Rashidi, Brett Beaulieu-Jones, Xuhai Orson Xu, Matthew McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gursoy, Marzyeh Ghassemi, Emma Pierson, George Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo
First submitted to arxiv on: 3 Mar 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary 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 machine learning for healthcare (ML4H) community. 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, junior chairs, and attendees from diverse backgrounds with interest in the session’s topic. This paper summarizes recent advances, applications, and open challenges for each topic. It serves as a comprehensive review paper, summarizing advancements in ML4H contributed by foremost researchers in the field. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The symposium brought together experts to discuss important topics in machine learning for healthcare. The event included many roundtable sessions where people could share ideas and learn from each other. This paper tells us about the organization of these discussions and what was discussed. It also gives an overview of the latest developments, applications, and challenges in this area. |
Keywords
* Artificial intelligence * Machine learning
