Session 2: AI in Radiology and Imaging

Tuesday, April 23, 2024 10:00 – 11:30 AM
Location: Asbury Hall A-B, Disney Yacht Club

Session Titles:

  • Impactful Artificial Intelligence Tool Evaluation and Adoption in Radiology: Opportunities & Challenges – Reza Forghani, MD, PhD
  • Clinical AI tools in Thoracic Imaging: Current State – Bruno Hochhegger, MD, PhD
  • The AI Lifecycle: Navigating the AI Journey – Laura P Coombs, PhD

Learning Objectives:

  • Describe steps required to safely deploy an AI algorithm
  • Determine the differences among the different types of FDA clearance for Software as a Medical Device
  • Describe challenges to monitoring clinically deployed AI algorithms


  • Victor Tonso, MD
  • Reza Forghani, MD, PhD

About the Speakers:


university of florida

Reza Forghani, MD, PhD

Dr. Reza Forghani is a professor of radiology and AI at the UF College of Medicine. As Vice Chair of AI for UF Health, Forghani’s vision is to increase research and development in the Department of Radiology, including collaboration with other clinical specialties and scientists at UF. The Radiomics and Augmented Intelligence Lab will lead research activities and pre-deployment evaluation of AI tools for precision diagnostics, streamlined clinical processes, and enhanced health care quality and education.


University of florida

Bruno Hochhegger, MD, PhD

Dr. Bruno Hochhegger is a professor and thoracic radiologist at the University of Florida. His expertise in clinical imaging analysis in chronic lung diseases and lung cancer. He has mentored 29 PhDs and MSc students and been granted more than $4,800,000 in research projects involving lung cancer screening and new imaging methods in chest diseases. 


american college of raDIOLOGY

Laura P Coombs, PhD

Laura P. Coombs, PhD, is Vice President of Data Science and Informatics at the American College of Radiology (ACR), where she is responsible for the informatics portfolio, including the Data Science Institute. In that role, Laura collaborates with academic institutions, industry, and government, including the Food and Drug Administration (FDA), to ensure that artificial intelligence algorithms for medical imaging are deployed safely and effectively. She provides product oversight of the development of the AI-LAB, the Data Archive and Research Toolkit (DART), and other informatics products including ACR Connect and ACR Common. Laura started at the ACR as Director of Data Registries, a collection of quality registries for medical imaging. Prior to joining the ACR, she was an Assistant Research Professor at George Washington University Biostatistics Center where she was the biostatistician on several National Institutes of Health-sponsored clinical trials. She also developed models for risk-adjustment for outcomes registries as an Assistant Research Professor at Duke Clinical Research Institute. Laura proudly received her PhD in Statistics from Oklahoma State University.