AI Tool Matches Cardiologists in Echocardiography Interpretation Across 39 Tasks: Study Shows
USA: A new study published in JAMA introduces a cutting-edge artificial intelligence (AI) system capable of fully automating the interpretation of transthoracic echocardiograms (TTEs) with high accuracy. Developed by Gregory Holste and colleagues from the Department of Electrical and Computer Engineering at The University of Texas at Austin, the system—named PanEcho—has demonstrated strong potential to streamline cardiovascular diagnostics and improve accessibility to cardiac imaging interpretation, especially in resource-limited settings.
Echocardiography remains a fundamental tool in the evaluation and monitoring of heart conditions, but the process is traditionally dependent on expert interpretation of numerous ultrasound video clips. Recognizing this limitation, the research team developed PanEcho using a multitask deep learning model to perform a wide range of diagnostic and measurement tasks.
The study involved training the AI system on a vast dataset comprising 1.2 million echocardiographic videos from 32,265 TTE studies involving over 24,000 patients at Yale New Haven Health System (YNHHS) facilities, collected between 2016 and 2022. The model was subjected to both internal and external validations, including tests on real-world point-of-care ultrasound data.
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