Real-life clinical validation of AI-assisted echocardiography for aortic root and LVOT measurements against human readers and cardiac magnetic resonance
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ID: 324276
2026
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Abstract
Abstract Aims AI algorithms may improve echocardiographic measurement standardization, but direct validation against cardiovascular magnetic resonance (CMR) remains limited. This study aimed to evaluate the agreement between AI-assisted transthoracic echocardiography (TTE), expert manual TTE, and CMR as a gold standard for aortic root and left ventricular outflow tract (LVOT) diameters. Methods and results Out of 183 patients with analyzable TTE and CMR recordings performed within seven days, 169 had complete measurements of LVOT, sinotubular junction (SoV) and sinus of Valsalva (STJ) by AI and were included in the primary analysis. Automated AI measurements were obtained using the US2.AI platform and compared with those of expert echocardiographers and CMR. Agreement was assessed using intraclass correlation coefficients (ICC) and Bland-Altman analysis. Agreement between Expert 1 and CMR, and Expert 2 and CMR, yielded ICCs: 0.63 (95% CI: 0.50–0.73) and 0.51 (95% CI: 0.36–0.65) for LVOT, 0.71 (95% CI: 0.63–0.78) and 0.82 (95% CI: 0.73–0.87) for STJ, and 0.85 (95% CI: 0.79–0.89) to 0.85 (95% CI: 0.78–0.89) for SoV, respectively. AI-derived measurements demonstrated comparable agreement with CMR: ICC 0.70 (95% CI: 0.61–0.77) for LVOT, 0.77 (95% 0.70–0.83) for STJ, and 0.77 (95% 0.70–0.83) for SoV. Clinically significant differences (≥2 mm for LVOT and ≥4 mm for STJ and SoV) between AI vs CMR measurements were observed in 36.7% of LVOT, 20% of STJ, and 11.8% of SoV measurements. Conclusion AI-assisted echocardiography showed comparable agreement for aortic root and LVOT measurements, but physician oversight remains necessary.
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| Authors | Patrycja Mołek-Dziadosz, Oleksandra Bondarchuk, Aleksandra Woźniak, Maria Królikowska, Agnieszka Mirek, Anna Furman-Niedziejko, Karol Mazur, Elżbieta Ostrowska-Kaim, Karolina Golińska‐Grzybała, Aleksander Siniarski, Joanna Szachowicz-Jaworska, Tomasz Miszalski-Jamka, Radosław Rychlak, Marc R. Dweck, Jadwiga Nessler, Andrzej Gackowski |
| Journal | European Heart Journal - Digital Health |
| Year | 2026 |
| DOI |
10.1093/ehjdh/ztag126
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| URL | |
| Keywords | Keywords not found |
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