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This paper is in the following e-collection/theme issue:

Electronic Health Records (1440) Machine Learning (2337) Computer-Aided Diagnosis (292) Cardiac Diagnostics (39) Applications of AI (402)

Published on in Vol 14 (2026)

Man on exercise bike with ECG monitoring during stress test

AI-Powered Resting 12-Lead Electrocardiogram Algorithm for Predicting Low Peak Oxygen Consumption: Development and Validation Study

AI-Powered Resting 12-Lead Electrocardiogram Algorithm for Predicting Low Peak Oxygen Consumption: Development and Validation Study

Authors of this article:

Shu-Chun Huang1, 2, 3 Author Orcid Image ;   Tieh-Cheng Fu1, 4 Author Orcid Image ;   Michelle Liou5 Author Orcid Image ;   Yu-Chieh Huang6 Author Orcid Image ;   Sing-Ya Chang7 Author Orcid Image ;   Guan-Yi Huang1 Author Orcid Image ;   Hong-Ren Su8 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Shu-Chun Huang   1, 2, 3 , MD, PhD ;   Tieh-Cheng Fu   1, 4 , MD, PhD ;   Michelle Liou   5 , PhD ;   Yu-Chieh Huang   6 , PhD ;   Sing-Ya Chang   7 , MD ;   Guan-Yi Huang   1 , MD ;   Hong-Ren Su   8 , PhD

1 School of Medicine, College of Medicine, Taoyuan, Taiwan

2 Department of Physical Medicine and Rehabilitation, New Taipei Municipal Tucheng Hospital, Chang Gung Memorial Hospital, Taipei, Taiwan

3 Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Linkou, Taiwan

4 Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Keelung City, Taiwan

5 Institute of Statistical Science Academia Sinica, Taipei, Taiwan

6 Department of Physical Therapy and Assistive Technology, National Yang Ming Chiao Tung University, Taipei, Taiwan

7 Department of Medical Education, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan

8 Super Genius Aitak Co, Ltd, New Taipei City, Taiwan

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