Machine Learning for Healthcare 2026

Machine Learning for Healthcare 2026 (ML4H) is a leading interdisciplinary conference dedicated to advancing the application of machine learning methods to pressing problems in medicine and patient care. The conference serves as a critical bridge between the AI research community and clinical practice, emphasizing rigorous evaluation and real-world deployment.

Topics span electronic health record modeling, medical imaging analysis, drug discovery, clinical decision support, fairness and bias in health AI, and federated learning for sensitive data. Clinicians, biomedical engineers, data scientists, and health policy researchers are all encouraged to participate. ML4H is especially valuable for those seeking to translate algorithmic advances into measurable healthcare outcomes.