Automated artificial intelligence–enabled measurement of cardiac structures on point-of-care ultrasonography: a prospective multicenter validation study
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Le résumé fourni par la source
Introduction Point-of-care ultrasonography (POCUS) enables clinicians to obtain critical diagnostic information at the bedside, especially in resource-limited settings. This information may include 2D cardiac quantitative data, although measuring the data manually can be time-consuming and subject to user experience. Artificial intelligence (AI) can potentially automate this quantification. This study assessed the interpretation of key cardiac measurements on POCUS images by an AI-enabled device (AISAP Cardio V1.0). Methods This retrospective diagnostic accuracy study included 200 POCUS cases from four hospitals (two in Israel and two in the United States). Each case was independently interpreted by three cardiologists and the device for seven measurements [left ventricular (LV) ejection fraction, inferior vena cava (IVC) maximal diameter, left atrial (LA) area, right atrial (RA) area, LV end-diastolic diameter, right ventricular (RV) fractional area change, and aortic root diameter]. The endpoints were the root mean square error (RMSE) of the device compared with the average cardiologist measurement (LV ejection fraction and IVC maximal diameter were primary endpoints; the other measurements were secondary endpoints). Predefined passing criteria were based on the upper bounds of the RMSE 95% confidence intervals (CIs). The intercardiologist RMSE was also calculated for reference. Results The device achieved the passing criteria for six of the seven measurements. Although not achieving the passing criterion for RV fractional area change, it still achieved a better RMSE than the intercardiologist RMSE. The RMSE was 6.20% [95% confidence interval (CI): 5.57–6.83; intercardiologist RMSE of 8.23%] for LV ejection fraction, 0.25 cm (95% CI: 0.20–0.29; 0.36 cm) for IVC maximal diameter, 2.39 cm 2 (95% CI: 1.96–2.82; 4.39 cm 2 ) for LA area, 2.11 cm 2 (95% CI: 1.75–2.47; 3.49 cm 2 ) for RA area, 5.06 mm (95% CI: 4.58–5.55; 4.67 mm) for LV end-diastolic diameter, 10.17% (95% CI: 9.01–11.33; 14.12%) for RV fractional area change, and 0.19 cm (95% CI: 0.16–0.21; 0.24 cm) for aortic root diameter. Discussion The device accurately calculated these cardiac measurements especially when benchmarked against intercardiologist variability. Its use could assist clinicians who utilize POCUS and better enable their clinical decision-making.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Automated artificial intelligence–enabled measurement of cardiac structures on point-of-care ultrasonography: a prospective multicenter validation study
- Date Crossref
- 21/09/2026
- Éditeur
- Frontiers Media SA
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Harvard University pays non établi dans la noticeUniversité ou école supérieure
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Massachusetts General Hospital Department of Radiology pays non établi dans la noticeÉtablissement de santé
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Clinical Research Organization pays non établi dans la noticeStructure de recherche
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Brigham and Women's Hospital Department of Medicine pays non établi dans la noticeÉtablissement de santé
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Thomas Jefferson University pays non établi dans la noticeUniversité ou école supérieure
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Inova Health System pays non établi dans la noticeÉtablissement de santé
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Harvard Medical School pays non établi dans la noticeInstitution
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Sidney Kimmel Medical College Division of Cardiology pays non établi dans la noticeUniversité ou école supérieure
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Inova Schar Heart and Vascular pays non établi dans la noticeInstitution
Harvard University, Department of Radiology — Massachusetts General Hospital et Clinical Research Organization, avec 6 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.