AAAI Bridge Program 2025: AI for Medicine and Healthcare

Jiayuan Zhu, Min Xu, Yueming Jin, Alex Novak, Sarim Ather, Bartlomiej W. Papiez, Xiang Li, Junde Wu
Proceedings of The First AAAI Bridge Program on AI for Medicine and Healthcare, PMLR 281:1-4, 2025.

Abstract

The AI for Medicine and Healthcare bridge program at AAAI-25 was designed to address the critical gap between the rapid advancement of AI technologies and their effective integration into clinical practice. While AI has demonstrated significant success in medical imaging, diagnostics, and workflow automation, concerns regarding explainability, reliability, and clinical usability continue to hinder widespread adoption. The bridge program provided an interdisciplinary platform for AI researchers, clinicians, and industry experts to collaborate, exchange insights, and discuss strategies for developing AI-driven healthcare solutions that align with real-world medical needs. The event featured research paper presentations, paper poster sessions, and expert panel discussions. This paper provides an in-depth review of the key themes, challenges, and future directions that emerged from AI for Medicine and Healthcare bridge program at AAAI-25.

Cite this Paper

BibTeX
@InProceedings{pmlr-v281-zhu25a, title = {AAAI Bridge Program 2025: AI for Medicine and Healthcare}, author = {Zhu, Jiayuan and Xu, Min and Jin, Yueming and Novak, Alex and Ather, Sarim and Papiez, Bartlomiej W. and Li, Xiang and Wu, Junde}, booktitle = {Proceedings of The First AAAI Bridge Program on AI for Medicine and Healthcare}, pages = {1--4}, year = {2025}, editor = {Wu, Junde and Zhu, Jiayuan and Xu, Min and Jin, Yueming}, volume = {281}, series = {Proceedings of Machine Learning Research}, month = {25 Feb}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/v281/main/assets/zhu25a/zhu25a.pdf}, url = {https://proceedings.mlr.press/v281/zhu25a.html}, abstract = {The AI for Medicine and Healthcare bridge program at AAAI-25 was designed to address the critical gap between the rapid advancement of AI technologies and their effective integration into clinical practice. While AI has demonstrated significant success in medical imaging, diagnostics, and workflow automation, concerns regarding explainability, reliability, and clinical usability continue to hinder widespread adoption. The bridge program provided an interdisciplinary platform for AI researchers, clinicians, and industry experts to collaborate, exchange insights, and discuss strategies for developing AI-driven healthcare solutions that align with real-world medical needs. The event featured research paper presentations, paper poster sessions, and expert panel discussions. This paper provides an in-depth review of the key themes, challenges, and future directions that emerged from AI for Medicine and Healthcare bridge program at AAAI-25.} }
Endnote
%0 Conference Paper %T AAAI Bridge Program 2025: AI for Medicine and Healthcare %A Jiayuan Zhu %A Min Xu %A Yueming Jin %A Alex Novak %A Sarim Ather %A Bartlomiej W. Papiez %A Xiang Li %A Junde Wu %B Proceedings of The First AAAI Bridge Program on AI for Medicine and Healthcare %C Proceedings of Machine Learning Research %D 2025 %E Junde Wu %E Jiayuan Zhu %E Min Xu %E Yueming Jin %F pmlr-v281-zhu25a %I PMLR %P 1--4 %U https://proceedings.mlr.press/v281/zhu25a.html %V 281 %X The AI for Medicine and Healthcare bridge program at AAAI-25 was designed to address the critical gap between the rapid advancement of AI technologies and their effective integration into clinical practice. While AI has demonstrated significant success in medical imaging, diagnostics, and workflow automation, concerns regarding explainability, reliability, and clinical usability continue to hinder widespread adoption. The bridge program provided an interdisciplinary platform for AI researchers, clinicians, and industry experts to collaborate, exchange insights, and discuss strategies for developing AI-driven healthcare solutions that align with real-world medical needs. The event featured research paper presentations, paper poster sessions, and expert panel discussions. This paper provides an in-depth review of the key themes, challenges, and future directions that emerged from AI for Medicine and Healthcare bridge program at AAAI-25.
APA
Zhu, J., Xu, M., Jin, Y., Novak, A., Ather, S., Papiez, B.W., Li, X. & Wu, J.. (2025). AAAI Bridge Program 2025: AI for Medicine and Healthcare. Proceedings of The First AAAI Bridge Program on AI for Medicine and Healthcare, in Proceedings of Machine Learning Research 281:1-4 Available from https://proceedings.mlr.press/v281/zhu25a.html.

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