Integrating Artificial Intelligence Into Digital Health-Optimized Therapeutics for the Remote Cardiac Rehabilitation.
Cardiovascular diseases (CVDs), which have high morbidity and mortality, have become one of the world's largest public health concerns. Although primary hospitalization can partially relieve symptoms, many patients continue to have poor prognoses and lowered quality of life after discharge. Cardiac...
| Published in: | Clinical Medicine Insights: Cardiology Vol. 20; pp. 1 - 20 |
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| Main Authors: | , , , , , , , |
| Format: | pictorial research review tables/charts Journal Article |
| Published: |
Sage Publications Inc.
3/10/2026
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192230254&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192230254 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11795468 B3KL jtl: Clinical Medicine Insights: Cardiology issn: 11795468 maglogo: Y pubinfo: dt: 3/10/2026 vid: 20 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 192230254 192230254 192230254 10.1177/11795468261421344 192230254 ppf: 1 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Integrating Artificial Intelligence Into Digital Health-Optimized Therapeutics for the Remote Cardiac Rehabilitation. aug: au: Wan, Xueqi Ge, Limeng Tian, Jinfan Ding, Guanshou Gao, Bingyu Geng, Haoci Ge, Changjiang Song, Xiantao affil: Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing, P.R. China sug: subj: Digital Health Artificial Intelligence Rehabilitation, Cardiac Telerehabilitation Cardiovascular Diseases Therapy Therapeutics Wearable Sensors Remote Patient Monitoring Home Health Care Machine Learning Algorithms Patient Compliance Therapeutic Exercise Self-Management Health Services Accessibility Risk Assessment Ethics, Medical Privacy and Confidentiality ab: Cardiovascular diseases (CVDs), which have high morbidity and mortality, have become one of the world's largest public health concerns. Although primary hospitalization can partially relieve symptoms, many patients continue to have poor prognoses and lowered quality of life after discharge. Cardiac rehabilitation (CR) is an important recommendation for patients undergoing cardiac surgery, as well as those who suffer from severe cardiovascular events or chronic cardiac disease. However, standard, center-based CR options tend to be ineffective and hard to access, leading to low compliance. The development of digital health technologies (DHTs), especially wearables—which can be combined with mobile applications-has enabled home-based CR, that is, remote CR. This model has substantially enhanced CR efficiency and patient adherence. With advancements in artificial intelligence (AI), including machine learning (ML) algorithms and deep learning, large-scale data from wearables and other DHTs can be effectively retrieved and interpreted. Further incorporation of AI into DHTs may provide real-time fitness telemonitoring, accurate risk recognition and prediction, individualized exercise recommendations, and improved patient adherence. In this review, we succinctly highlight several applications of both AI and wearables in remote CR, and evaluate their collective roles in patient CR execution from several perspectives. We hope our review will help advance further integration of AI and DHT into home-based CR, and plan to direct future research toward refining the use of AI in new-era digital CR. pubtype: Academic Journal doctype: pictorial research review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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