About the Session

Deploying AI in imaging is no longer about proof of concept. It is about making solutions work reliably in the real world.  

This panel brings together industry leaders to share the hard-earned lessons, practical strategies, and critical success factors that separate successful AI deployments from stalled pilots.   

From workflow integration and stakeholder buy-in to validation, regulation, and ROI, panelists will crack the code on what it really takes to make imaging AI succeed at scale. 

Objectives 

  • Identify the key organizational, technical, and regulatory factors that drive successful AI implementation in imaging. 
  • Analyze lessons learned from real-world deployments, including workflow integration and clinician adoption. 
  • Explore strategies for measuring impact and ensuring sustainable value from AI solutions. 

Sponsored By

Sponsored by Philips Healthcare
Rad AI logo
Sponsored by Rad AI
Session Number

2007

Format

+Virtual Live Stream, Education Session

Learning Topic
Artificial Intelligence (AI)Productivity & Workflow
Imaging Specialty
CardiologyDermatologyOphthalmologyPathologyRadiology
Credit Type
ARRT-RTCAMPEP-MPCECSIIM IIP-CIIP

Presented By

 

Katherine P. Andriole,
PhD, FSIIM

Associate Dean for Health AI Strategy & Innovation, UCLA David Geffen School of Medicine
Director, UCLA Center for AI and SMART Health

Heather Chait, MBA, DPM BIO

AI Clinical Ecosystem Lead
Philips

Andrew Del Gaizo, MD

Chief Medical Information Officer
Rad AI