This study from Bordeaux University Hospital evaluated the real-world use of AI in echocardiography, analyzing nearly 900 echo scans across varying operator experience levels. Results showed strong agreement between AI-generated and human measurements—particularly for ejection fraction and Doppler-based parameters—highlighting AI’s potential to streamline workflow and reduce variability. The Us2.ai software was integrated into the hospital system within six weeks, demonstrating its feasibility in busy clinical settings. This research highlights the promise of AI to enhance efficiency in cardiac imaging without compromising diagnostic quality.
Lafitte, S., Lafitte, L., Jonveaux, M., Pascual, Z., Ternacle, J., Dijos, M., Bonnet, G., Reant, P., & Bernard, A. (2025). Integrating artificial intelligence into an echocardiography department: Feasibility and comparative study of automated versus human measurements in a high-volume clinical setting. Archives of Cardiovascular Diseases. https://doi.org/10.1016/j.acvd.2025.04.051