Conference on Machine Intelligence in Medical Imaging

An Ontology for Discoverable and Interoperable Radiology AI Models and Datasets

• Charles E. Kahn, Jr., MD, MS, FSIIM, University of Pennsylvania
• Abhinav Suri; Safwan Halabi, MD; Hari Trivedi, MD

Beyond FDA Clearance: Automated Post Deployment Monitoring and Validation of Commercial AI Models using Local Large Language Models (LLMs)

• Theo Dapamede, MD, PhD; Emory University
• Bardia Khosravi, MD, MPH, MHPE; Chad Robichaux, MPH; Aawez Mansuri, MS; Mohammadreza Chavoshi, MD ; Alex Belov; Angela Udongwo, MPH; Chinonyelum Igwe; Frank Li, PhD; Beatrice Brown-Mulry; Hanssen Li, MD; John Moon, MD; Judy Gichoya, MD, MS, FSIIM; Hari Trivedi, MD

Enhancing Equitable Study Distribution Using Reinforcement Learning

• Yiting Xie, PhD, Merative
• Sun Young Park, PhD; Linda Bagley; Christy Weatherbee; Ferenc Kis; Marwan Sati, PhD

Ensuring Real-Time Reliability: An Autonomous Monitoring System for Radiology AI Performance

• Suyash Khubchandani, MD, MHA, CARPL.ai, Inc
• Vasantha K. Venugopal, MD; Abhishek Gupta; Rohit Takhar

Imaging Management of Lumbar Spine MRI Annotation in Machine Learning Model Validation with an Emphasis on Subcohort Variation

• Veysel Kocaman, PhD, Gesund.ai
• Sumir S. Patel, MD, MBA; Enes Hosgor, PhD