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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.06693 |
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| _version_ | 1866913685211971584 |
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| author | Adibi, Amin Cao, Xu Ji, Zongliang Kaur, Jivat Neet Chen, Winston Healey, Elizabeth Nuwagira, Brighton Ye, Wenqian Woollard, Geoffrey Xu, Maxwell A Cui, Hejie Xi, Johnny Chang, Trenton Bikia, Vasiliki Zhang, Nicole Noori, Ayush Xia, Yuan Hossain, Md. Belal Frank, Hanna A. Peluso, Alina Pu, Yuan Shen, Shannon Zejiang Wu, John Fallahpour, Adibvafa Mahbub, Sazan Duncan, Ross Zhang, Yuwei Cao, Yurui Xu, Zuheng Craig, Michael Krishnan, Rahul G. Beheshti, Rahmatollah Rehg, James M. Karim, Mohammad Ehsanul Coffee, Megan Celi, Leo Anthony Fries, Jason Alan Sadatsafavi, Mohsen Shung, Dennis McWeeney, Shannon Dafflon, Jessica Jabbour, Sarah |
| author_facet | Adibi, Amin Cao, Xu Ji, Zongliang Kaur, Jivat Neet Chen, Winston Healey, Elizabeth Nuwagira, Brighton Ye, Wenqian Woollard, Geoffrey Xu, Maxwell A Cui, Hejie Xi, Johnny Chang, Trenton Bikia, Vasiliki Zhang, Nicole Noori, Ayush Xia, Yuan Hossain, Md. Belal Frank, Hanna A. Peluso, Alina Pu, Yuan Shen, Shannon Zejiang Wu, John Fallahpour, Adibvafa Mahbub, Sazan Duncan, Ross Zhang, Yuwei Cao, Yurui Xu, Zuheng Craig, Michael Krishnan, Rahul G. Beheshti, Rahmatollah Rehg, James M. Karim, Mohammad Ehsanul Coffee, Megan Celi, Leo Anthony Fries, Jason Alan Sadatsafavi, Mohsen Shung, Dennis McWeeney, Shannon Dafflon, Jessica Jabbour, Sarah |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_06693 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Adibi, Amin Cao, Xu Ji, Zongliang Kaur, Jivat Neet Chen, Winston Healey, Elizabeth Nuwagira, Brighton Ye, Wenqian Woollard, Geoffrey Xu, Maxwell A Cui, Hejie Xi, Johnny Chang, Trenton Bikia, Vasiliki Zhang, Nicole Noori, Ayush Xia, Yuan Hossain, Md. Belal Frank, Hanna A. Peluso, Alina Pu, Yuan Shen, Shannon Zejiang Wu, John Fallahpour, Adibvafa Mahbub, Sazan Duncan, Ross Zhang, Yuwei Cao, Yurui Xu, Zuheng Craig, Michael Krishnan, Rahul G. Beheshti, Rahmatollah Rehg, James M. Karim, Mohammad Ehsanul Coffee, Megan Celi, Leo Anthony Fries, Jason Alan Sadatsafavi, Mohsen Shung, Dennis McWeeney, Shannon Dafflon, Jessica Jabbour, Sarah Machine Learning Artificial Intelligence Computers and Society 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. |
| title | Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium |
| topic | Machine Learning Artificial Intelligence Computers and Society |
| url | https://arxiv.org/abs/2502.06693 |