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

Web-based and Mobile Health Interventions (5758) Telehealth and Telemonitoring (3023) Emerging Technologies for Rehabilitation (492) mHealth for Telemedicine and Homecare (848)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81400, first published .
Senior woman in athletic wear checks phone, holding yoga mat outdoors.

Effects of Artificial Intelligence Recognition–Based Telerehabilitation on Exercise Capacity in Patients With Hypertension: Randomized Controlled Trial

Effects of Artificial Intelligence Recognition–Based Telerehabilitation on Exercise Capacity in Patients With Hypertension: Randomized Controlled Trial

Authors of this article:

Qiuru Yao1, 2, 3, 4 Author Orcid Image ;   Baizhi Qiu1, 2, 3, 4 Author Orcid Image ;   Longlong He5 Author Orcid Image ;   Qin Wang1, 2, 3, 4 Author Orcid Image ;   Jihua Zou1, 3, 4, 6, 7 Author Orcid Image ;   Donghui Liang8 Author Orcid Image ;   Shuyang Wen1, 2, 3, 4 Author Orcid Image ;   Yingchao Liu1, 3, 4 Author Orcid Image ;   Gege Li1, 3, 4, 6 Author Orcid Image ;   Jinjing Hu1, 3, 4, 6 Author Orcid Image ;   Huan Ma9 Author Orcid Image ;   Guozhi Huang1, 3, 4, 6 Author Orcid Image ;   Qing Zeng1, 3, 4, 6 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Journals

  1. Varzideh F, Mone P, Kansakar U, Pande S, Jankauskas S, Santulli G. Artificial Intelligence in Cardiovascular Medicine: Focus on Hypertension. Hypertension 2026;83(6) View
  2. Jankauskas S, Varzideh F, Kansakar U, Santulli G. Artificial Intelligence in Cardiovascular Medicine: A Giant Step in Personalized Medicine?. Journal of Personalized Medicine 2026;16(4):192 View
  3. Cao J, Liu Y, Hu J, Zhai T, Pang Z, Li R, Dang F. Comparative efficacy of combined exercise and nutritional interventions for sarcopenia: A systematic review and network meta-analysis incorporating remote delivery models. Archives of Gerontology and Geriatrics 2026;147:106239 View
  4. Li C, Shi Y. How AI coach voice anthropomorphism influences exercise adherence: A PLS-SEM and fsQCA analysis. Acta Psychologica 2026;267:107032 View
  5. Ghram A, Loureiro Diaz J, Raghavan P, Hautala A, Kaddoura R, Laukkanen J, Kunutsor S, Elrayess M, Knechtle B, Weiss K, Rosemann T, Sharif S, Bonikowske A, Eijsvogels T, Pescatello L, Kaminsky L, Babu A, Biondi-Zoccai G, Giráldez-García M, Nauman J, Lippi G, Niebauer J, Perone F, Chamari K, Sabbour H, Paniagua M, Omar S, Turk-Adawi K, Supervia M, Hedaya L, Ibrahim O, Suliman M, Jayaprabha Surendran P, Martinez-Bussion D, Al Shamari M, Alhashemi M, Agab T, Ahmad R, Ajimsha M, Staron A, Shabana A, Albatini A, Alqahtani A, Aljehani R, Aladab A, Sattar H, Moholdt T, Sandbakk Ø, Lavie C, Ben Saad H. Toward Precision Cardiac Rehabilitation: Current Limitations and Future Opportunities of Omics and Artificial Intelligence. Sports Medicine 2026 View
  6. Chen H, Xiao S, Wan T, Li G, Peng Y, Wang Z. Application of AI in Hypertension Health Education: Scoping Review. Journal of Medical Internet Research 2026;28:e95596 View