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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

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;56(10):2413 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
  7. Ong A, Ang C, Bojic I, Johnson C, Aggour H, Ng F, Car J, Leeson P, Gonçalves J, Lai N. Artificial intelligence in cardiovascular care: a systematic review and meta-analysis of randomised controlled trials. eClinicalMedicine 2026;98:104123 View
  8. Yu X, Zhang C, Liu L, Chen H. Exercise Training Across the Hypertensive Heart Disease Continuum: Clinical Evidence and Implications for Prescription. Journal of Cardiovascular Development and Disease 2026;13(9):441 View
  9. Heshmati H, Li A, Tullis J. The Impact of Generative AI on Self-Efficacy: Evidence From a Meta-Analysis. Journal of Educational Computing Research 2026 View
  10. Zhu Z, Fan Y, Tang Z, Song N, Mao Y, Zhu Z. Effects of Telerehabilitation With Exercise as the Core Component on Peak Oxygen Uptake and Blood Pressure in Patients With Cardiovascular Disease: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2026;28:e95923 View
  11. Tang S, Lin Q, Geng Y. Cardiovascular Functional Cell Injury and Cardiovascular Diseases: Mechanistic Insights and Exercise Interventions. Annals of the New York Academy of Sciences 2026;1564(1) View

Books/Policy Documents

  1. Ramachandran S, Raman K, Saraswathi K, G. M. Medical LLMs and AI in Healthcare. View