Machine Learning for Health (ML4H) brings together machine learning researchers, clinicians, and healthcare data experts. In this year's program, invited speakers and attendees will be able to discuss the utility and challenges of XAI as well as paths to practice for ML in healthcare. The two focus sessions are accompanied by keynotes (see all invited speakers here) as well as interactive research roundtables, two poster sessions, and datathon presentations. As usual, ML4H also publishes proceedings of accepted full papers in PMLR.
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FDA Center for Devices and Radiological Health (CDRH)
Senior Biomedical Research Scientist
University of California, Berkeley
Senior Scientist and Project Lead
Eindhoven University of Technology
Mihaela van der Schaar
University of Cambridge
Himabindu (Hima) Lakkaraju
Carnegie Mellon University