AI Echo Automation Improves Workflow For Sonographers

Article | Aug 29, 2025

This first-ever trial to randomize the use of an AI-based automated tool on a daily basis revealed that AI significantly enhanced the efficiency of screening echocardiography, reducing examination time despite a 3.4-fold increase in the number of parameters measured. This improved efficiency increased the number of examinations per day without increasing sonographers’ fatigue; in fact, it mitigated mental fatigue. Furthermore, being freed from the need to perform time-consuming measurements allowed sonographers to focus on image acquisition, which led to improved image quality.

AI Echo Automation Improves Workflow for Sonographers

Read our interview with Dr. Nobuyuki Kagiyama to learn about the key takeaways from the study and the experience of implementing Us2.ai at Juntendo University.

Sakamoto, A., Kagiyama, N., Sato, E., Nakamura, Y., Murata, A., Kaneko, T., Miyazaki, S., Ashikawa, Y., Sugihara, K., & Minamino, T. (2025). Artificial Intelligence-based Automated Echocardiographic Analysis and the Workflow of Sonographers: A randomized crossover trial. MedRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.1101/2025.08.20.25334115