Multimodal AI-approach for the automatic screening of cardiovascular diseases based on nocturnal physiological signals

• Published in: NPJ cardiovascular health Vol. 2; no. 1; p. 15
• Main Authors: Kim, Youngtae, Jang, Tae Gwan, Park, So Yeon, Park, Ha Young, Lee, Ji Ae, Oyun-Erdene, Tumenbat, Kim, Sang-Ha, Park, Young Jun, Cho, Sung Pil, Park, Junghwan, Kang, Dongwon, Urtnasan, Erdenebayar
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 06.05.2025; Nature Publishing Group
• Subjects: 692/4019; 692/699; Artificial intelligence; Biomedical and Life Sciences; Cardiac Imaging; Cardiac Surgery; Cardiology; Cardiovascular Biology; Cardiovascular disease; Cell Biology; Chronic illnesses; Electrocardiography; Life Sciences; Medicine/Public Health

This study proposes a multimodal AI algorithm called the SleepCVD-Net to automatically screen CVDs based on nocturnal physiological recordings. We designed and implemented a multimodal AI algorithm, SleepCVD-Net, which utilizes three-mode deep neural networks to process input signals—single-lead ele...