CoDEx's AI and Diagnosis Webinar Series - January 2025
Preparing Clinicians to Use Artificial Intelligence to Augment Diagnostic Decision-Making
Thursday, January 30, 2024
9-10 a.m. Pacific Time
About the Event
Artificial intelligence (AI) is transforming the medical landscape, opening new doors for enhanced diagnostic accuracy and collaborative decision-making. Despite the rapid development and implementation of AI tools, many frontline clinicians are unprepared to critically evaluate these technologies or integrate their outputs into diagnostic reasoning.
Join Cornelius James, MD, a National Academy of Medicine Scholar in Diagnostic Excellence ('21-'22), for an enlightening exploration of the journey of diagnostic AI—from its history to its future potential. Discover cutting-edge initiatives designed to equip clinicians with the essential skills to work effectively with AI and learn about the paradigm shift in medical education necessary to empower healthcare professionals as proactive, AI-savvy stakeholders. This webinar will provide valuable insights into harnessing AI for diagnostic excellence, as well as a Q&A session.
Learning Objectives:
By the end of this presentation participants should be able to:
- Describe the historical evolution of diagnostic artificial intelligence (AI)
- Summarize the current state of AI integration into diagnostic reasoning curricula
- Recognize initiatives to prepare clinicians to use AI in their diagnostic decision-making
Featured Speakers
Sumant Ranji, MD (Moderator)
Inaugural Director, UCSF CoDEx
Director of Quality Improvement and Patient Safety, Division of Hospital Medicine at the Zuckerberg San Francisco General Hospital (ZSFG)
Sumant 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, Sumant 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.
Cornelius James, MD
Assistant Professor, Departments of Internal Medicine, Pediatrics, and Learning Health Sciences at the University of Michigan
National Academy of Medicine Scholar in Diagnostic Excellence ('21-'22)
Cornelius is an internist and a pediatrician at the University of Michigan. His work focuses on the implementation of digital health technologies, including AI-based tools, into clinical practice. He leads the Data Augmented Technology Assisted Medical Decision-Making team that has developed curricula to prepare clinicians for AI in clinical practice.
About the Monthly Webinar Series
Dive headfirst into the future of healthcare innovation to unravel the most promising artificial intelligence (AI) advancements and approaches. At each event, CoDEx brings together the brightest minds in the field to share exclusive updates and challenges from projects underway with the potential to reshape the landscape of medical diagnosis. Through this monthly webinar series, you'll hear from visionary researchers, on-the-ground providers, and the next generation of diagnostic excellence leaders who will illuminate the path toward real-life improvements for healthcare delivery, health equity, and patient care and outcomes.
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Disclaimer: This webinar is for educational purposes only. Such use does not constitute an endorsement or approval from UCSF of any organization, product, and/or service.