Artificial Intelligence in Comprehensive Health Examinations
Author:
Affiliation:
1. Department of Medicine, Tokai University School of Medicine
Publisher
Japan Society of Health Evaluation and Promotion
Link
https://www.jstage.jst.go.jp/article/jhep/51/2/51_209/_pdf
Reference19 articles.
1. 1) Lu J: Ningen Dock: Japan's unique comprehensive health checkup system for early detection of disease. Global Health & Medicine 2022; 4(1): 9-13.
2. 2) Hamashima C: Cancer screening guidelines and policy making: 15 years of experience in cancer screening guideline development in Japan. Jpn J Clin Oncol 2018; 48(3): 278-86.
3. 3) Miura K, Yagi R, Miyama H, et al: Deep learning-based model detects atrial septal defects from electrocardiography: a cross-sectional multicenter hospital-based study. eClinicalMedicine 2023; 63: 102141.
4. 4) Goto S, McGuire DK, Goto S: The Future Role of High-Performance Computing in Cardiovascular Medicine and Science -Impact of Multi-Dimensional Data Analysis. Journal of Atherosclerosis and Thrombosis 2022; 29(5): 559-62.
5. 5) Goto S, Goto S: Application of Neural Networks to 12-Lead Electrocardiography — Current Status and Future Directions —. Circulation Reports 2019; 1(11): 481-6.
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