About
Machine Learning for Health
ML4H is a premier venue for research at the intersection of machine learning and health — fostering rigorous work that advances both the science and its application.
What is ML4H?
Machine Learning for Health (ML4H) is a leading workshop and community focused on the development, evaluation, and deployment of machine learning methods for health and medicine. Since its inception, ML4H has brought together researchers from machine learning, clinical medicine, public health, and adjacent fields to share work that matters.
ML4H 2026 continues this tradition, providing a forum for high-quality original research, critical retrospective analyses, and meaningful discussions about the role of ML in improving health outcomes.
Scope
ML4H welcomes contributions across the full spectrum of machine learning for health, including but not limited to:
- Clinical prediction and decision support
- Medical imaging and signal processing
- Electronic health records and structured clinical data
- Natural language processing for clinical text
- Fairness, accountability, and transparency in health AI
- Evaluation methodology and benchmarks
- Deployment, real-world implementation, and clinical trials
- Foundation models and large language models in health