AI-Powered Extraction of Relevant Information from Prior Radiology Reports 

Yiting Xie, PhD, Senior Data Scientist, Merge by Merative 
Linda Bagley; Marwan Sati, PhD 

Enhancing Radiology Resident Education Through Locally Deployed AI/ML-Driven Report Feedback: A Pilot Study to Evaluate Feasibility and Impact 

John Garrett, PhD, Director, University of Wisconsin, Madison 
Orhan Unal, PhD; Taylor Sellers, MD; Erik Winterholler, MD; Tan Nicholas, MD; Isha Pathak, MD; Allison Grayev, MD 

Generation of Patient-friendly Radiology Video Reports by an Integrated AI System 

Luyang Luo, PhD, Post-doctoral Fellow, Department of Biomedical Informatics, Harvard Medical School 
Jenanan Vairavamurthy, MD; Mike Moritz, MD; Xiaoman Zhang, PhD; Hong-Yu Zhou, PhD; Sung Eun Kim, MD; Julian Acosta, MD; Subathra Adithan, MD; Stuart Schrof, MD; Ramon Ter-Oganesyan, MD; Mingxiang Wu, MD; Brady Chrisler; Kent Kleinschmidt; Sathvik Suryadevara; Pranav Rajpurkar, PhD 

Improving Radiology Report Conciseness and Structure via Locally Run Large Language Models 

Ghulam Rasool, PhD, Assistant Member, Machine Learning, Department of Machine Learning, Moffitt Cancer Center 
Iryna Hartsock, PhD; Cyrillo Araujo, MD; Les Folio, DO, MPH 

RadALIGN: Mitigating Hallucinations and Improving Reliability in AI-Generated Radiology Reports 

Krish Malik, Researcher, Junior (11th grade), Parkland High School 
Vedant Malik 

Using Open-Source Large Language Models to Extract Labels from Radiology Reports for Machine Learning Applications: A Proof-of-Concept Study 

Michael Fei, Medical Student, Creighton School of Medicine 
Satvik Tripathi; Krishnaveni Parvataneni; Felix Dorfner; Christopher Bridge, PhD; Dania Daye, MD, PhD