ACCEL Lite: Artificial Intelligence-based Automated ECHOcardiographic Measurements and the Workflow of Sonographers (AI-ECHO): Randomized Crossover Trial
The use of artificial intelligence (AI) assistance in echocardiography is proving beneficial in a multitude of ways: significantly reducing time per examination, increasing the average number of examinations per day, improving image quality, and decreasing mental fatigue in sonographers. Through AI-based echocardiography patients receive faster, high-quality diagnostics, which benefit both patient care and clinician workflow.
In this interview, Drs. Jeroen Bax and Nobuyuki Kagiyama examine the results of the AI-ECHO randomized crossover trial.
Related References:
- Tromp J, Seekings PJ, Hung CL, et al. Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study. Lancet Digit Health 2022;4:e46-e54.
- Hirata &, Nomura Y, Saijo Y, Sata M, Kusunose K. Reducing echocardiographic examination time through routine use of fully automated software: a comparative study of measurement and report creation time. J Echocardiogr 2024;22:162-70.
- US2.ai webpage. 2024. Available at https://us2.ai/. Accessed 12/30/24.
Clinical Topics: Noninvasive Imaging
Keywords: ACCELLite, AHA24, Artificial Intelligence