SIIM-CAIMI
Conference on Artificial Intelligence in Medical Imaging
Oct 26-27, 2026
University of Pennsylvania, Philadelphia, PA
Large Language Models & Report Generation | Scientific Abstract Presentations
- Seema Singh Saharan, PhD, UCSF
- Jhaydine Bandola; Rachel Johansson, MD; Pete Lokken, MD, MPH; Beck Olson; Rajesh Shah, MD; Alexandra So; Harsh Tripathi; Xiao Wu, MD
- Pooja Pathak, MS, Lucile Packard Children's Hospital Stanford
- Christina Vernazza; Linn Dee Doyle; Zachery Seow, MBA, CRA, R.T.(R)(CT)(MR)(ARRT); Paul Fong; Timothy Mak, MS; Richard Barth, MD; Ali Syed, MD; Shreyas Vasanawala, MD, PhD; Sergios Gatidis, MD
- Ushanandini Raghavan, PhD, DeepHealth
- Madhu Jahagirdar
Residents as a Proxy for AI Draft Reporting: LLM-based Analysis(opens in new tab)
- Steven Rothenberg, MD, Thomas Jefferson University
- Shahir Monsuruddin, MD; Paras Lakhani, MD; Trevor Vent, PhD; Baskaran Sundaram, MD; Adam Flanders, MD, FSIIM
- Sydney A. Levin, Tulane University
- Matheus Ferreira; Eduardo Farina, MD; Ronald Peshock, MD; Paulo Kuriki, MD
- Mohammadreza Chavoshi, MD; Emory University School of Medicine
- Bardia Khosravi, MD, MPH, MHPE; Frank Li, PhD; Theo Dapamede, MD, PhD; Janice Newsome, MD; Hari Trivedi, MD; Judy Gichoya, MD, MS, FSIIM
Learning Objectives
Upon completion of the scientific sessions, participants will be able to:
- Evaluate emerging AI methods and applications in medical imaging research.
- Assess the performance, reliability, and clinical relevance of medical imaging AI across diverse applications and settings.
- Identify opportunities and challenges associated with translating medical imaging AI research into clinical practice and patient care.
SESSION ID
1002
DATE
MON, OCT 26
TIME
9:00 AM – 10:30 AM ET
LOCATION
Arthur H. Rubenstein Auditorium
CONTINUING EDUCATION
ASRT-RT | CAMPEP-MPCEC | SIIM IIP-CIIP