Can AI Read Your ECG? Testing Vision-Language Models on Real ECGs | Healthcare AI Daily

Can ChatGPT, Gemini, or Claude actually read an electrocardiogram? A new peer-reviewed study tested six major vision-language models on 70 real clinical ECG images. The results are a wake-up call for anyone assuming AI can replace ECG interpretation. Key findings: • Best generalist model (ChatGPT-5): 62% balanced accuracy • Atrial fibrillation sensitivity: 11% or less — missed nearly every case • ST-segment deviation sensitivity: below 25% • Specialized ECG model PULSE-7B reached 89% for rhythm classification Paper: "Performance of Vision-Enabled Large Language Models in Image-Based Electrocardiogram Interpretation: Exploratory Evaluation" Authors: Soubh, Rasenack, Haarmann, Wiedmann, Zabel, Schmidt, Suliman, Bergau Journal: Journal of Medical Internet Research, June 3, 2026 DOI: 10.2196/86692 #HealthcareAI #ECG #AIinMedicine #Cardiology #VisionLanguageModels #ClinicalAI If this kind of breakdown is useful to you, take a second to like and subscribe — it really does help. Watch this episode on YouTube: https://youtu.be/yWO7ouwb-sc YouTube Channel: https://www.youtube.com/@RaphaelMalikian-g4h Created by Raphael T. Malikian ([email protected]). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research.