Exploratory evaluation of a medical vision-language model for electrocardiographic detection of acute coronary occlusion.
INTRODUCTION Vision-language models (VLMs) are increasingly explored for clinical interpretation tasks. Electrocardiographic (ECG) identification of acute coronary occlusion (ACO) is a high-risk application requiring accurate pattern recognition, and medical VLM performance on this task remains poorly characterised out...