Enhancing Imaging Appropriateness in Acute Care: Aligning Large Language Models with the American College of Radiology Appropriateness Criteria 

Hersh Sagreiya, MD, Assistant Professor of Radiology, Radiology, University of Pennsylvania 
Michael Yao; Charles Kahn, MD, MS, FACR; Walter Witschey, PhD; James Gee, PhD; Osbert Bastani, PhD; Allison Chae 

Evaluating Large Language Models for Multi-Institutional Radiology Report Annotation: A Prompt-Engineering Approach 

Mana Moassefi, MD, Postdoctoral Research Fellow, Radiology, Mayo Clinic 
Les Folio, MD; Ghulam Rasool, MD; Sina Houshmand, MD; Peter Chang, MD; Katherine Andriole, PhD, FSIIM; Maryellen Giger, PhD; Jessyca Wagner, PhD; Judy Gichoya, MD, FSIIM

High Performance Prompting for LLM Extraction of Findings from Radiology Reports 

Mohammed M. Kanani, MS, Medical Student, University of Washington School of Medicine 
Arezu Monawer, MD; Lauryn Brown, MD; William King, MD, PhD; Zach Miller, MD; Nitin Venugopal, MD; Patrick Heagerty, PhD; Jeffrey Jarvik, MD, MPH; Trevor Cohen, PhD; Nathan Cross, MD, MS 

LLM-Generated Clinical Histories: Evaluating Readability and Efficiency for Radiologic Interpretation 

Shawn Lyo, MD, Neuroradiologist and Imaging Informaticist, University of Pennsylvania/Baptist Health South Florida 
Satvik Tripathi, Ali Tejani, MD; David Vu, MD; Siddhant Dogra, MD; Hamza Alizai, MD; Tessa Cook, MD, PhD, CIIP, FSIIM, FCPP

The Effects of Prompt Engineering and Consensus on Identification of Incidental Breast Findings by Large Language Models from Radiology Reports 

Benjamin Rush, PhD, MPH, Informatics Data Scientist, Department of Radiology, University of Wisconsin- Madison 
Thanh Nguyen; Kayla Berigan, MD; Ryan Woods, MD, MPH; John Garrett, PhD