Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025

Kavli Affiliate: Ke Wang

| First 5 Authors: Emily Alsentzer, Emily Alsentzer, , ,

| Summary:

The 6th Annual Conference on Health, Inference, and Learning (CHIL 2025),
hosted by the Association for Health Learning and Inference (AHLI), was held in
person on June 25-27, 2025, at the University of California, Berkeley, in
Berkeley, California, USA. As part of this year’s program, we hosted Research
Roundtables to catalyze collaborative, small-group dialogue around critical,
timely topics at the intersection of machine learning and healthcare. Each
roundtable was moderated by a team of senior and junior chairs who fostered
open exchange, intellectual curiosity, and inclusive engagement. The sessions
emphasized rigorous discussion of key challenges, exploration of emerging
opportunities, and collective ideation toward actionable directions in the
field. In total, eight roundtables were held by 19 roundtable chairs on topics
of "Explainability, Interpretability, and Transparency," "Uncertainty, Bias,
and Fairness," "Causality," "Domain Adaptation," "Foundation Models," "Learning
from Small Medical Data," "Multimodal Methods," and "Scalable, Translational
Healthcare Solutions."

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