A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension.

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Bibliographic Details
Title: A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension.
Authors: Liu PY; Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center Taipei, Taipei, Taiwan R.O.C.; Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan., Hsing SC; Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center Taipei, Taipei, Taiwan R.O.C., Tsai DJ; Artificial Intelligence of Things Center, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan R.O.C.; Medical Technology Education Center, School of Medicine, National Defense Medical Center, Taipei, Taiwan R.O.C., Lin C; Artificial Intelligence of Things Center, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan R.O.C.; School of Public Health, National Defense Medical Center, Taipei, Taiwan R.O.C.; Medical Technology Education Center, School of Medicine, National Defense Medical Center, Taipei, Taiwan R.O.C., Lin CS; Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center Taipei, Taipei, Taiwan R.O.C., Wang CH; Department of Otolaryngology-Head and Neck Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan R.O.C.; Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan R.O.C., Fang WH; Artificial Intelligence of Things Center, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan R.O.C.. rumaf.fang@gmail.com.; Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan R.O.C.. rumaf.fang@gmail.com.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Apr; Vol. 38 (2), pp. 747-756. Date of Electronic Publication: 2024 Aug 13.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2948-2933
DOI:10.1007/s10278-024-01225-4