In this discussion, Nina Kottler, MD, MS, Associate Chief Medical Officer, Clinical AI at Radiology Partners and Elad Walach, CEO, Aidoc discuss the stages health systems go through when implementing AI, from initial investigation through proof of value and into the future of elevating radiology’s influence across the care continuum.
1. Radiology informaticists are uniquely positioned to drive AI in their clinical practice
2. Why workflow integration is crucial for showing meaningful results with AI
3. What it takes for AI to work for your institution
Radiology experts unpack their artificial intelligence (AI) use cases, sharing their learnings and insights around improving patient outcomes, getting systems up and running, and seeing
What defines AI implementation in healthcare? AI implementation involves leveraging the full potential of algorithms, deep learning, technology innovation and investment to improve workflows and
This is the second article in a three-part blog series focused on the advantages of adopting AI in your department of radiology. Read the first