Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning.
Zeye LiuHang LiWenchao LiFengwen ZhangWenbin OuyangShouzheng WangAihua ZhiXiangbin PanPublished in: Interdisciplinary sciences, computational life sciences (2023)
A deep-learning algorithm could effectively identify patients with RV abnormalities. This AI algorithm developed specifically for right ventricular abnormalities will improve the detection of right ventricular abnormalities at all levels of care units and facilitate the timely diagnosis and treatment of related diseases. In addition, this study is the first to validate the algorithm's ability to classify RV abnormalities by comparing it with human experts.