Shark Attack! Using AI Beyond Lesion Detection

Thursday, April 11, 2024

10:40 AM – 11:30 AM

Location: 517

Moderator(s)

Priscilla J. Slanetz, MD, MPH, FACR, FSBI, FAAWR, FAUR

Professor of Radiology and Vice Chair of Academic Affairs
Boston University Medical Center
Boston University Chobanian & Avedisian School of Medicine

Slides PDF

Speaker(s)

BP

Brett T. Parkinson, MD

Former Imaging Director Intermountain Breast Imaging
Intermountain Health
Paula B. Gordon, OC, OBC, MD, FRCPC, FSBI

Clinical Professor
University of British Columbia
University of British Columbia
Julian Marshall, BS, MS

CEO
maiData
Linda Moy, MD, FSBI, FACR, FISMRM

Professor of Radiology
New York University Grossman School of Medicine
New York University

Slides PDF

General Attendee(s)

SR

Sean Raj, MD

Chief Innovation Officer
SimonMed Imaging
GS

Georgia G. Spear, MD

Division Chief of Breast Imaging and Associate Professor of Radiology, U of C Pritzker School of Med
NorthShore University HealthSystem
University of Chicago Pritzker School of Medicine
Maggie Chung, MD

University of California San Francisco
University of California San Francisco

Slides PDF

Four contestants will pitch their AI product to 3 judges (“sharks”). The session will describe various ways in which AI may add value to breast imaging including how AI can impact clinical workflow, aid with lesion detection, and provide risk prediction. The sharks will pose questions after each presentation allowing attendees to gain a better sense of how AI will influence the practice of and breast imaging in 2030. This session is meant to be lively and playful but still impart information on emerging trends in AI.

The presentation slides for this session are not available for attendees to download.

Learning Objectives:

Discuss the data supporting the use of AI in cancer detection and risk prediction.
Describe the emerging role of AI in streamlining workflow.
Consider the challenges of clinical implementation of AI in breast imaging.