Predicting Cholecystectomy Complexity Using Large Language Models: Enhancing Preoperative Decision-Making with AI 

Anagha Tirumalai Ramaswamy, MD, Resident, General Surgery, Bangalore Medical College and Research Institute 
Mir Noor Hassan, MD, 

RADAR (Real-time AI Data Assessment and Reporting): A Solution for Automated Monitoring of Commercial AI Model Performance Built with “Off-the-Shelf” Components 

Adam Flanders, MD, CIIP, FSIIM, Vice-Chair Imaging Informatics, Radiology, Thomas Jefferson University 
Paras Lakhani, MD; Prahlad Menon, PhD; Robyn Ball, PhD; Luciano Prevedello, MD; George Shih, MD; Avi Sharma, MD; Ryan Lee, MD 

RadPath: Improving Radiology-Pathology Correlation Follow-Up for Radiologists via an Automated System 

Othria Ahmed, MD, Resident Physician, Northwell Health 
Matthew Barish, MD; David Hirschorn, MD; Graham Keir, MD; Ritesh Patel, MD; Gabriel Felder, MD, MPH 

Tool for Enhanced 3D Planning and Evaluation of AAA Procedures in Vascular Surgery 

Nazanin Maleki, MD, Research Fellow, Radiology, The Children’s Hospital of Philadelphia 
David Weiss, MD; Thomas Hager, MS; Mariam Aboian, MD, PhD; MingDe Lin, PhD; Khaled Bousabarah, MS; Wolfgang Holler, PhD; Kathryn Simmons, MS; Johannes Haubold, MD; Sarah Loh, MD; Uwe Fischer, MD; Julius Chapiro, MD; Cornelius Deuschl, MD; Sanjay Aneja, MD; Edouard Aboian, MD  

Using AI Agents to Generate Recommendations Based on ACR Whitepapers 

Paulo Kuriki, MD, Assistant Professor in Neuroradiology, Radiology, UT Southwestern Medical Center 
Yin Xi, PhD; Ali Tejani, MD; Fernando Kay, MD, PhD; Krishna Sai Balineni, MS; Yee Ng, MD