Event Speaker

Mohammed M. Kanani, MS

Medical Student

University of Washington School of Medicine

Mohammed Kanani is a 4th year medical student at the University of Washington, where he also completed a Master’s in Applied Bioengineering. With a strong passion for radiology and imaging informatics, he is deeply interested in leveraging cutting-edge technologies to improve clinical practices. His recent work focuses on the integration of AI technologies to optimize research tools, aiming to advance diagnostic capabilities and streamline workflows. Through his interdisciplinary background, Mohammed Kanani is dedicated to driving innovation at the intersection of medicine, engineering, and data science to enhance healthcare delivery.

Sessions

From Prompt to Practice: Advancing Radiology with Large Language Models Scientific Research Abstracts

Presented by Hersh Sagreiya, MD, Mohammed M. Kanani, MS, Benjamin Rush, PhD, MPH, Mana Moassefi, MD, Shawn Lyo, MD May 22, 2025 | 7:30 AMRoom A105

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…

Reporting Juicing – Extracting Structured Radiology Data with LLMs Learning Lab

Presented by Yee Seng Ng, MD, Mohammed M. Kanani, MS, Nathan Cross, MD, MS, CIIP, Arezu Monawer, MD May 23, 2025 | 1:00 PMRoom B117

Imaging reports are a valuable source of clinical information, but their free-text format poses challenges for clinical operations, AI workflows, quality improvement, and research. This session will explore modern libraries and techniques to efficiently leverage open-source large language models (LLMs) like Llama 3.1 and Mistral for extracting structured data. Participants will gain hands-on insights into…