Dawun Jeong, Sunghee Jung, Yeonyee E Yoon, Jaeik Jeon, Yeonggul Jang, Seongmin Ha, Youngtaek Hong, JunHeum Cho, Seung-Ah Lee, Hong-Mi Choi, Hyuk-Jae Chang
To enhance M-mode echocardiography's utility for measuring cardiac structures, we developed and evaluated an artificial intelligence (AI)-based automated analysis system for M-mode images through the aorta and left atrium [M-mode (Ao-LA)], and through the left ventricle [M-mode (LV)]. Our system, integrating two deep neural networks (DNN) for view classification and image segmentation, alongside an auto-measurement algorithm, was developed using 5,958 M-mode images [3,258 M-mode (LA-Ao), and 2,700 M-mode (LV)] drawn from a nationwide echocardiographic dataset collated from five tertiary hospitals...
April 23, 2024: International Journal of Cardiovascular Imaging