Fine-tuning an ECG Foundation Model to Predict Coronary CT Angiography Outcomes
The episode discusses a paper fine-tuning an ECG foundation model to predict Coronary CT Angiography outcomes. The hosts detail how researchers used multi-center clinical data to build and test this AI model, focusing on predicting hemodynamically significant stenosis in specific arteries. They highlight a fusion strategy that improves risk stratification and the importance of model interpretability for clinical trust.