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

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Bibliographic Details
Title: AI-Powered Resting 12-Lead Electrocardiogram Algorithm for Predicting Low Peak Oxygen Consumption: Development and Validation Study.
Authors: Huang SC; School of Medicine, College of Medicine, Taoyuan, Taiwan.; Department of Physical Medicine and Rehabilitation, New Taipei Municipal Tucheng Hospital, Chang Gung Memorial Hospital, Taipei, Taiwan.; Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Linkou, Taiwan., Fu TC; School of Medicine, College of Medicine, Taoyuan, Taiwan.; Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Keelung City, Taiwan., Liou M; Institute of Statistical Science Academia Sinica, Taipei, Taiwan., Huang YC; Department of Physical Therapy and Assistive Technology, National Yang Ming Chiao Tung University, Taipei, Taiwan., Chang SY; Department of Medical Education, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan., Huang GY; School of Medicine, College of Medicine, Taoyuan, Taiwan., Su HR; Super Genius Aitak Co, Ltd, No 5, Ln 347, Zhongzheng Rd, Xinzhuang Dist, New Taipei City, 242009, Taiwan, 886 2-206988.
Source: JMIR medical informatics [JMIR Med Inform] 2026 Jun 11; Vol. 14, pp. e81105. Date of Electronic Publication: 2026 Jun 11.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2291-9694
DOI:10.2196/81105