CHIL 2025: Conference on Health, Inference, and Learning

CHIL 2025, the Conference on Health, Inference, and Learning, is a rigorous interdisciplinary venue dedicated to the application of machine learning and causal inference to healthcare problems, with a strong emphasis on clinical validity, fairness, and real-world deployability. The program spans machine learning for clinical decision support, predictive modeling on electronic health records, causal inference in observational health data, digital health interventions, AI ethics in medicine, and health policy implications of algorithmic decision-making.

CHIL attracts machine learning researchers, clinicians, epidemiologists, health informaticists, and policy makers who share the conviction that AI in healthcare must be evaluated not just by predictive accuracy but by clinical impact, fairness across patient populations, and alignment with health equity goals. The conference's interdisciplinary character makes it a rare space where a statistician, a physician, and a machine learning engineer might co-author a paper.

machine learning in healthcare health policy causal inference fairness in AI clinical decision support predictive modeling digital health AI ethics