Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium

• URL: http://arxiv.org/abs/2403.01628v2
• Date: Fri, 5 Apr 2024 14:15:13 GMT
• Title: Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
• Authors: 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,
• Abstract summary: Third ML4H symposium was held in person on December 10, 2023, in New Orleans, Louisiana, USA. We organized eleven in-person roundtables and four virtual roundtables at ML4H 2022. This document serves as a comprehensive review paper, summarizing the recent advancements in machine learning for healthcare.
• Score: 71.81297744767885
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

Related papers

• Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry [68.72590517877455]
  We present the outcomes from the second Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry. The event engaged participants across global hybrid locations, resulting in 34 team submissions. The submissions spanned seven key application areas and demonstrated the diverse utility of LLMs for applications.
  arXiv  Detail & Related papers  (2024-11-20T23:08:01Z)
• Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks [62.443665295250035]
  We present the results of the AI-Debater 2023 Challenge held by the Chinese Conference on Affect Computing (CCAC 2023) In total, 32 competing teams register for the challenge, from which we received 11 successful submissions.
  arXiv  Detail & Related papers  (2024-07-20T10:13:54Z)
• Proceedings 18th International Workshop on Logical and Semantic Frameworks, with Applications and 10th Workshop on Horn Clauses for Verification and Synthesis [0.6649753747542209]
  LSFA aims to bring researchers and students interested in theoretical and practical aspects of logical and semantic frameworks and their applications. The covered topics include proof theory, type theory and rewriting theory, specification and deduction languages, and formal semantics of languages and systems.
  arXiv  Detail & Related papers  (2024-04-21T14:22:53Z)
• The Time Traveler's Guide to Semantic Web Research: Analyzing Fictitious Research Themes in the ESWC "Next 20 Years" Track [2.211868306499727]
  We asked the community what will Semantic Web research focus on in 20 years from now. We collected their visions in the "Next 20 years" track of ESWC 2023. We received ten submissions, eight of which were accepted for presentation at the conference.
  arXiv  Detail & Related papers  (2023-09-25T08:20:06Z)
• Summary of the 4th International Workshop on Requirements Engineering and Testing (RET 2017) [13.648461211584717]
  The 4th workshop was co-located with the 25th International Requirements Engineering Conference (RE'17) in Lisbon, Portugal. In line with the previous workshop instances, RET 2017 o ered an interactive setting with a keynote, an invited talk, paper presentations, and a concluding hands-on exercise.
  arXiv  Detail & Related papers  (2023-08-29T06:47:44Z)
• VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition Challenge [95.6159736804855]
  The VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC-22) was held in conjunction with INTERSPEECH 2022. The goal of this challenge was to evaluate how well state-of-the-art speaker recognition systems can diarise and recognise speakers from speech obtained "in the wild"
  arXiv  Detail & Related papers  (2023-02-20T19:27:14Z)
• Machine Learning for Health symposium 2022 -- Extended Abstract track [5.7582524698492925]
  2nd Machine Learning for Health symposium (ML4H 2022) was held in New Orleans, Louisiana, USA. ML4H 2022 featured two submission tracks: a proceedings track and an extended abstract track. All manuscripts submitted to ML4H Symposium underwent a double-blind peer-review process.
  arXiv  Detail & Related papers  (2022-11-28T17:15:22Z)
• I4U System Description for NIST SRE'20 CTS Challenge [87.17861348484455]
  This manuscript describes the I4U submission to the 2020 NIST Speaker Recognition Evaluation (SRE'20) Conversational Telephone Speech (CTS) Challenge. The I4U's submission was resulted from active collaboration among eight research teams. The submission was based on the fusion of top performing sub-systems and sub-fusion systems contributed by individual teams.
  arXiv  Detail & Related papers  (2022-11-02T13:04:27Z)
• Perspectives on Sim2Real Transfer for Robotics: A Summary of the R:SS 2020 Workshop [79.20516797125704]
  This report presents the debates, posters, and discussions of the Sim2Real workshop held in conjunction with the 2020 edition of the "Robotics: Science and System" conference. 12 leaders of the field took competing debate positions on the definition, viability, and importance of transferring skills from simulation to the real world in the context of robotics problems. The debaters also joined a large panel discussion, answering audience questions and outlining the future of Sim2Real in robotics.
  arXiv  Detail & Related papers  (2020-12-07T15:48:26Z)
• Conversational Search -- A Report from Dagstuhl Seminar 19461 [32.97401872105722]
  44researchers in Information Retrieval and Web Search, Natural Language Processing, Human Computer Interaction, and Dialogue Systems were invited. A 5-day program of the seminar consisted of six introductory and background sessions, three visionary talk sessions, one industry talk session, and seven working groups and reporting sessions. This report provides the executive summary, overview of invited talks, and findings from the seven working groups which cover the definition, evaluation, modelling, explanation, scenarios, applications, and prototype of Conversational Search.
  arXiv  Detail & Related papers  (2020-05-18T12:48:33Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.