Overview
About the Event
AI health chatbots like ChatGPT Health are increasingly the first stop for people wondering whether their symptoms warrant a trip to the ER. But how safe and accurate is that guidance for patients?
In a landmark Nature Medicine study, researchers at the Icahn School of Medicine at Mount Sinai put ChatGPT Health to the test and found troubling gaps: the tool directed over half of true emergencies toward a 24-48 hour follow-up rather than the emergency department, and its suicide-risk safeguards were more likely to trigger in lower-risk scenarios than when users disclosed specific plans for self-harm.
During this webinar, lead study author Ashwin Ramaswamy, MD, shared the study's findings and what they mean for the future of AI-powered health triage.
Date
Monday, April 13, 2026Time
Organizers
Speakers
Ashwin Ramaswamy, MD
Instructor of Urology, The Mount Sinai Hospital
Sumant Ranji, MD
Director, UCSF CODEX
Professor of Clinical Medicine, Division of Hospital Medicine at the Zuckerberg San Francisco General Hospital (ZSFG)
Dr. Ranji is a renowned leader in patient safety, quality improvement, and medical education. He first joined UCSF as a fellow in hospital medicine and clinical research, then went on to become a faculty member in the Division of Hospital Medicine at UCSF Health, where he held multiple leadership positions. As director of CODEX, Dr. Ranji leads the center’s strategic planning and the execution of its work to champion diagnostic excellence research and build awareness of and engagement within the field.
Learn more about Sumant here.