Summary A deep learning model accurately predicts stent implantation necessity in borderline coronary lesions directly from coronary angiography, reducing reliance on invasive adjunctive testing. Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from NPJ digital medicine. MAIN So here's a problem that interventional cardiologists face pretty regularly: you're looking at a coronary angiogram, and you see a stenosis that's sitting right in that gray zone. It's narrower than normal, clearly, but is it narrow enough to warrant a stent? We're talking about those borderline lesions—anywhere from 50 to 70 percent stenosis. The thing is, angiography alone doesn't always give you enough information to decide with confidence. So […]