π§ AI spots heart failure types from basic ECGs
Researchers developed an AI model that can identify multiple heart failure types from routine ECGs. This tool was created by Wake Forest University School of Medicine researchers using data from Atrium Health Wake Forest Baptist. The model analyzed over 1 million ECGs and performed well using single-lead data, similar to wearables. This is crucial because heart failure often requires specialized, hard-to-access imaging tests. The team is currently piloting the model in a family medicine clinic to see its real-world impact. π©Ί