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Transforming echocardiography with artificial intelligence
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Journal Article
Transforming echocardiography with artificial intelligence
2025
Overview
The system performs automated view classification, image quality assessment, segmentation, and quantification of 68 guideline-recommended parameters, including left and right ventricular volumes and function, atrial size, Doppler indices (e.g., E/e’), and global longitudinal strain [1, 2–3]. An automated audit trail is incorporated, allowing careful post-analysis follow-up for any necessary future evaluations of system performance. At Erasmus MC, although a large proportion of referrals are complex, the overall demand for echocardiography is rising, particularly in structured follow-up programmes for cardio-oncology, valve disease, and genetic screening.
Publisher
BSL Media & Learning,Springer Nature B.V,Springer
