Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic Use

By Akhil Narang, R. Bae, H. Hong, Y. Thomas, S. Surette, Charles F. Cadieu, A. Chaudhry, Randolph P. Martin, P. McCarthy, D. Rubenson and 5 more. JAMA cardiology, 2021

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Key Points Question Can artificial intelligence guide novice operators to obtain echocardiographic scans with limited diagnostic utility? Findings In this diagnostic study, 8 nurses without prior ultrasonography experience used artificial intelligence guidance to scan 30 patients each with a 10-view echocardiographic protocol (240 total patients). Five expert echocardiographers blindly reviewed these scans and felt they were of diagnostic quality for left ventricular size and function in 98.8% of patients, right ventricular size in 92.5%, and presence of pericardial effusion in 98.8%. Meaning Artificial intelligence can extend the reach of echocardiography to assess the 4 basic parameters of left ventricular size and function, right ventricular size, and presence of a nontrivial pericardial effusion to sites with limited expertise.

Subfields: Critical Care and Intensive Care Medicine, Health Informatics, Pulmonary and Respiratory Medicine

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