Safety and alignment for clinical AI

Ophthalmology resident at Hadassah Medical Center and physician-researcher in ophthalmology and artificial intelligence, with an MD from the Hebrew University of Jerusalem. Ongoing work spans ophthalmic therapeutics and AI-driven diagnostic systems.

Assistant Professor of Radiology at Mayo Clinic, trained at Sheba Medical Center and in radiology informatics, AI and cardiothoracic imaging at Mayo. Research covers large language models, red teaming, AI ethics and the monitoring of AI after deployment.

Otolaryngologist at Sheba Medical Center, with an MD, an MPH and a PhD. Her work joins clinical care, genetics and clinical AI, with a focus on the safety, bias and guideline adherence of generative AI.

Hematologist and physician-scientist at Rabin Medical Center, leading research on the rigorous evaluation of generative AI in healthcare. Her work includes large-scale audits of model behavior in clinical trial screening and medical ethics.

Associate Professor and Head of the Rheumatology Unit at Galilee Medical Center, working on Behçet's syndrome, systemic sclerosis and rheumatoid arthritis. He studies the role of large language models in diagnosing rheumatic diseases.

Professor of Internal Medicine and Rheumatology at Sheba Medical Center and Tel Aviv University, with a research fellowship at the University of Leeds. He has authored over 200 publications, with work on spondyloarthritis and psoriatic arthritis.

MD candidate at Northwestern Feinberg, with degrees in computer science and mathematics from Washington University in St. Louis. Research focuses on the evaluation and safety of large language models in clinical decision support and medical education.

Medical student at the University of Debrecen and physician assistant in a neurology clinic. Research focuses on orthopedics and on large language models in clinical medicine.

Medical student at the University of Debrecen and founder of Medrasy.com, an educational platform that has taught hundreds of medical students. Research focuses on AI in medical imaging.