The AHLI Conference on Health, Inference, and Learning (CHIL) solicits work across a variety of disciplines at the intersection of machine learning and healthcare. CHIL 2025 invites submissions focused on artificial intelligence and machine learning (AI/ML) techniques that address challenges in health, which we view broadly as including clinical healthcare, public health, population health, and beyond.
Specifically, authors are invited to submit 8-10 page papers (with unlimited pages for references) to one of 3 possible tracks: Models and Methods, Applications and Practice, or Impact and Society. Each track is described in detail below. Authors will select exactly one primary track when they register each submission, in addition to one or more sub-disciplines. Appropriate track and sub-discipline selection will ensure that each submission is reviewed by a knowledgeable set of reviewers.
PAPER SUBMISSION DEADLINE: FEBRUARY 10, 2025
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