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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.

Type

Conference paper

Publication Date

2025-01-01T00:00:00+00:00

Volume

281

Pages

1 - 4

Total pages

3