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- Title
Artificial intelligence in echocardiography: a better alternative to the human eye?
- Authors
Galiuto, Leonarda; Volpe, Massimo
- Abstract
The mean absolute difference between the original report and final cardiologist evaluation was 6.29% in the AI group and 7.23% in the sonographer group (difference -0.94%; 95% CI: -1.34% to -0.54%; P < 0.001 for superiority). Key points In a blinded, randomized, non-inferiority clinical trial, the performance of artificial intelligence (AI) against sonographer assessment on cardiologist evaluation of left ventricular ejection fraction (LVEF) was tested.[1] A total of 3769 echocardiographic studies present in the Cedars-Sinai Medical Centre database were initially screened for subsequent analysis; 274 of them were excluded because of poor image quality, and the remaining 3495 were analysed using an AI model trained at Stanford healthcare.[2] Twenty-five sonographers quantified LVEF, using either monoplane 4-chamber (2249 studies) or biplane (1246 studies) Simpson method. The mean absolute difference between the AI evaluation and cardiologist assessment of LVEF was 2.79%, while it was 3.77% between the sonographer and cardiologist evaluation (difference -0.97%; 95% CI, -1.33% to -0.54%; P < 0.001 for superiority).
- Subjects
ARTIFICIAL intelligence; ECHOCARDIOGRAPHY; MACHINE learning
- Publication
European Heart Journal, 2023, Vol 44, Issue 31, p2891
- ISSN
0195-668X
- Publication type
Article
- DOI
10.1093/eurheartj/ehad401