Machine Learning for Healthcare 2025

Machine Learning for Healthcare 2025 (ML4H 2025) is a premier interdisciplinary conference dedicated to research at the intersection of machine learning and medicine, emphasizing clinical relevance, methodological rigor, and responsible deployment of AI in health settings. Topics include deep learning for medical imaging, natural language processing of clinical notes, predictive modeling on electronic health records, federated learning for privacy-preserving healthcare AI, uncertainty quantification in clinical predictions, and fairness and bias in medical AI systems.

ML4H attracts machine learning researchers, clinicians, biostatisticians, health informaticists, and policy researchers who share the conviction that advancing AI in healthcare requires both technical excellence and deep engagement with clinical reality. The conference is known for its emphasis on reproducibility, clinical validation, and equity, insisting that a model that is technically impressive but clinically misleading or unfair to underrepresented patient groups represents a failure rather than a success.