Overview
As imaging AI and generative reporting AI tools continue to transform the radiology field, their clinical effectiveness relies not only on meeting initial performance benchmarks but also on sustained performance after deployment. Drawing on insights from a large-scale enterprise AI deployment, Drs. Poff and Wiggins from Radiology Partners will explore evolving best practices for validating AI tools before deployment and monitoring their ongoing performance in clinical settings.
Date
Wednesday, November 13, 2024Time
Organizers
Speakers
Jason Poff, MD
Radiologist, Greensboro Radiology
Director of Innovation Deployment, Radiology Partners
Dr. Poff specializes in abdominal, thoracic, and oncologic imaging. He also is a private practice radiologist, and his interests include exploring the intersection of AI, radiologist workflow, and clinical quality improvement.
Walter Wiggins, MD, PhD
Radiologist, Greensboro Radiology
Adjunct Clinical Director, Duke Center for Artificial Intelligence in Radiology, Duke University Health System
Dr. Wiggins is a practicing neuroradiologist and emergency radiologist. His expertise is in image-guided spine intervention and clinical AI development and deployment/monitoring.
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.