Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies

• Published in: Circulation Journal Vol. 86; no. 1; pp. 87 - 95
• Main Authors: Kakuda, Nobutaka, Shinohara, Hiroki, Morita, Hiroyuki, Fujiu, Katsuhito, Ieki, Hirotaka, Akazawa, Hiroshi, Matsuoka, Ryo, Higashikuni, Yasutomi, Uehara, Masae, Kodera, Satoshi, Komuro, Issei, Takeda, Norifumi, Nakanishi, Koki, Daimon, Masao, Ninomiya, Kota, Ando, Jiro, Katsushika, Susumu, Nakamoto, Mitsuhiko, Nakao, Tomoko
• Format: Journal Article
• Language: English
• Published: Japan The Japanese Circulation Society 24.12.2021
• Subjects: Algorithms; Artificial intelligence; Cardiac sarcoidosis; Deep Learning; Echocardiography; Humans; Motion Pictures; Myocarditis; Sarcoidosis - diagnostic imaging; Transfer learning; Deep learning; Echocardiography; Transfer learning; Artificial intelligence; Cardiac sarcoidosis

Background:Because the early diagnosis of subclinical cardiac sarcoidosis (CS) remains difficult, we developed a deep learning algorithm to distinguish CS patients from healthy subjects using echocardiographic movies.Methods and Results:Among the patients who underwent echocardiography from January...