Finding the Value in AI Assistance

[on-hold music] Hello, and welcome to another episode of "The Radiology Podcast." I'm your host, Sid Dhokra, and today we'll be discussing a recent article in Radiology called "Performing Best When Needed Least: Reader Experience Shapes Accuracy Gains in Large Language Model-Assisted Brain MRI Differential Diagnosis." Our guest today is the corresponding author of this article, Dr.

Soohwan Kim.

Dr. Kim is a radiology resident at the Technical University of Munich, where he helps lead research into human AI collaboration within radiology.

Before this, he was a product manager at a radiology AI startup, which helps bring a complementary industry perspective into his work.

He's also currently a member of the Trainee Editorial Board for Radiology Artificial Intelligence.

Soohwan, thank you so much for joining us.

Yeah, thanks a lot for having me.

So let's jump into it.