{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T04:32:10Z","timestamp":1772253130885,"version":"3.50.1"},"reference-count":41,"publisher":"Sociedade Brasileira de Cardiologia","issue":"6","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Arq. Bras. Cardiol."],"abstract":"<jats:p>Resumo  Fundamento  Programas de treinamento f\u00edsico melhoram a capacidade de exerc\u00edcio e a qualidade de vida (QV) em pacientes com doen\u00e7a arterial coronariana (DAC). Embora a intelig\u00eancia artificial (IA) tenha sido utilizada no desenvolvimento desses programas, ainda s\u00e3o escassos os estudos que avaliam sua efic\u00e1cia.  Objetivo  Este estudo comparou os efeitos de programas de reabilita\u00e7\u00e3o card\u00edaca (RC) baseados em tecnologia com os programas tradicionais sobre a capacidade de exerc\u00edcio e a participa\u00e7\u00e3o de pacientes com DAC utilizando IA para an\u00e1lise dos dados.  M\u00e9todos  Um total de 52 pacientes com DAC foi distribu\u00eddo aleatoriamente em tr\u00eas grupos: i) grupo de telereabilita\u00e7\u00e3o (GTR) (n=18); ii) grupo de aplicativo m\u00f3vel (GAM) (n=13); e iii) grupo controle (GC), que recebeu apenas recomenda\u00e7\u00f5es de atividade f\u00edsica (n=21). Os participantes do GTR e do GAM completaram um programa de 12 semanas com exerc\u00edcios calist\u00eanicos e de resist\u00eancia, tr\u00eas vezes por semana. A capacidade de exerc\u00edcio foi avaliada por meio do Incremental Shuttle Walk Test (ISWT), e a QV foi medida com o question\u00e1rio Short Form-36 (SF-36). O feedback dos pacientes foi analisado utilizando um modelo de processamento de linguagem natural (PLN) baseado em BERT ajustado. M\u00e9todos de detec\u00e7\u00e3o de anomalias foram aplicados para identificar diverg\u00eancias entre a ades\u00e3o autorrelatada e os resultados do ISWT. O n\u00edvel de signific\u00e2ncia estat\u00edstica foi fixado em p&lt;0,05.  Resultados  Tanto o GTR [44,4% mulheres] (\u0394=87,2\u00b115,2 m) quanto o GAM [50% mulheres] (\u0394=89,4\u00b170,4 m) apresentaram melhora significativa no ISWT em compara\u00e7\u00e3o com o GC [47,6% mulheres] (\u0394=10,9\u00b128,2 m) (p=0,001). A ades\u00e3o foi maior no GTR (100%) e no GAM (80%) do que no GC (30%) (p&lt;0,001). A satisfa\u00e7\u00e3o relatada pelos pacientes, analisada por PLN, mostrou correla\u00e7\u00e3o positiva significativa com os ganhos no ISWT (r=0,75, p&lt;0,001). Os achados demonstram o potencial da IA para apoiar a avalia\u00e7\u00e3o de resultados na RC.  Conclus\u00f5es  Programas de RC baseados em tecnologia melhoram a capacidade de exerc\u00edcio e a ades\u00e3o de pacientes com DAC, refor\u00e7ando o uso de ferramentas com suporte de IA. A an\u00e1lise por PLN ajudou a relacionar o feedback dos pacientes aos resultados do exerc\u00edcio e a detectar inconsist\u00eancias, demonstrando seu valor na avalia\u00e7\u00e3o da RC.<\/jats:p>","DOI":"10.36660\/abc.20240765","type":"journal-article","created":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T11:59:29Z","timestamp":1749211169000},"source":"Crossref","is-referenced-by-count":1,"title":["Impacto da Reabilita\u00e7\u00e3o Card\u00edaca Baseada em Tecnologia na Capacidade de Exerc\u00edcio e na Ades\u00e3o de Pacientes com Doen\u00e7a Arterial Coronariana: Uma An\u00e1lise com Suporte de Intelig\u00eancia Artificial"],"prefix":"10.36660","volume":"122","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9192-6033","authenticated-orcid":false,"given":"Dilara","family":"Saklica","sequence":"first","affiliation":[{"name":"Hacettepe University,  Turquia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0218-140X","authenticated-orcid":false,"given":"Naciye","family":"Vardar-Yagli","sequence":"additional","affiliation":[{"name":"Hacettepe University,  Turquia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Melda","family":"Saglam","sequence":"additional","affiliation":[{"name":"Hacettepe University,  Turquia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deniz","family":"Yuce","sequence":"additional","affiliation":[{"name":"Hacettepe University,  Turquia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmet Hakan","family":"Ates","sequence":"additional","affiliation":[{"name":"Hacettepe University,  Turquia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7673-229X","authenticated-orcid":false,"given":"Hikmet","family":"Yorgun","sequence":"additional","affiliation":[{"name":"Hacettepe University,  Turquia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"22636","published-online":{"date-parts":[[2025]]},"reference":[{"issue":"29","key":"ref1","doi-asserted-by":"crossref","first-page":"2315","DOI":"10.1093\/eurheartj\/ehw106","article-title":"2016 European Guidelines on Cardiovascular Disease Prevention in Clinical Practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (Constituted by Representatives of 10 Societies and by Invited Experts)Developed with the Special Contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR)","volume":"37","author":"Piepoli MF","year":"2016","journal-title":"Eur Heart J"},{"issue":"6","key":"ref2","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.113.000568","article-title":"Using Mobile Technology for Cardiac Rehabilitation: A Review and Framework for Development and Evaluation","volume":"2","author":"Beatty AL","year":"2013","journal-title":"J Am Heart Assoc"},{"issue":"15","key":"ref3","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.120.020482","article-title":"Mobile Technology Improves Adherence to Cardiac Rehabilitation: A Propensity Score-Matched Study","volume":"10","author":"Imran TF","year":"2021","journal-title":"J Am Heart Assoc"},{"issue":"1","key":"ref4","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1161\/CIR.0000000000001150","article-title":"Digital Technologies in Cardiac Rehabilitation: A Science Advisory from the American Heart Association","volume":"148","author":"Golbus JR","year":"2023","journal-title":"Circulation"},{"issue":"25","key":"ref5","doi-asserted-by":"crossref","first-page":"3097","DOI":"10.1161\/CIR.0b013e3182776f83","article-title":"2012 ACCF\/AHA\/ACP\/AATS\/PCNA\/SCAI\/STS Guideline for the Diagnosis and Management of Patients with Stable Ischemic Heart Disease: Executive Summary: A Report of the American College of Cardiology Foundation\/American Heart Association task Force on Practice Guidelines, and the American College of Physicians, American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons","volume":"126","author":"Fihn SD","year":"2012","journal-title":"Circulation"},{"issue":"4","key":"ref6","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1093\/ptj\/69.4.260","article-title":"Oxygen Consumption During Calisthenic Exercise in Women with Coronary Artery Disease","volume":"69","author":"Gleeson PB","year":"1989","journal-title":"Phys Ther"},{"issue":"11","key":"ref7","doi-asserted-by":"crossref","DOI":"10.3390\/s22114277","article-title":"A Mobile Application to Perform the Six-Minute Walk Test (6MWT) at Home: A Random Walk in the Park is as Accurate as a Standardized 6MWT","volume":"22","author":"Scherrenberg M","year":"2022","journal-title":"Sensors"},{"issue":"4","key":"ref8","first-page":"323","article-title":"Cardiac Rehabilitation, Physical Activity, and the Effectiveness of Activity Monitoring Devices on Cardiovascular Patients: An Umbrella Review of Systematic Reviews","volume":"9","author":"Dafny HA","year":"2023","journal-title":"Eur Heart J Qual Care Clin Outcomes"},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.3389\/fcvm.2024.1356361","article-title":"Clinical Application of Virtual Reality in Patients with Cardiovascular Disease: State of the Art","volume":"11","author":"Micheluzzi V","year":"2024","journal-title":"Front Cardiovasc Med"},{"issue":"4","key":"ref10","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1001\/jamacardio.2020.5218","article-title":"Effectiveness of Home-Based Mobile Guided Cardiac Rehabilitation as Alternative Strategy for Nonparticipation in Clinic-Based Cardiac Rehabilitation among Elderly Patients in Europe: A Randomized Clinical Trial","volume":"6","author":"Snoek JA","year":"2021","journal-title":"JAMA Cardiol"},{"issue":"28","key":"ref11","first-page":"2672","article-title":"Three-Dimensional Printing, Holograms, Computational Modelling, and Artificial Intelligence for Adult Congenital Heart Disease Care: An Exciting Future","volume":"43","author":"Chessa M","year":"2022","journal-title":"Eur Heart J"},{"issue":"6","key":"ref12","doi-asserted-by":"crossref","first-page":"2173","DOI":"10.1016\/j.athoracsur.2021.11.011","article-title":"Leveraging Machine Learning to Predict 30-Day Hospital Readmission after Cardiac Surgery","volume":"114","author":"Sherman E","year":"2022","journal-title":"Ann Thorac Surg"},{"issue":"12","key":"ref13","doi-asserted-by":"crossref","first-page":"2009","DOI":"10.12998\/wjcc.v12.i12.2009","article-title":"Comprehensive and Personalized Approach is a Critical Area for Developing Remote Cardiac Rehabilitation Programs","volume":"12","author":"Pepera G","year":"2024","journal-title":"World J Clin Cases"},{"issue":"11","key":"ref14","doi-asserted-by":"crossref","DOI":"10.1161\/CIRCIMAGING.123.015569","article-title":"Real-Time Artificial Intelligence-Based Guidance of Echocardiographic Imaging by Novices: Image Quality and Suitability for Diagnostic Interpretation and Quantitative Analysis","volume":"16","author":"Mor-Avi V","year":"2023","journal-title":"Circ Cardiovasc Imaging"},{"issue":"8","key":"ref15","doi-asserted-by":"crossref","first-page":"1472","DOI":"10.1016\/j.mayocp.2022.01.016","article-title":"Prediction of Mortality in Coronary Artery Disease: Role of Machine Learning and Maximal Exercise Capacity","volume":"97","author":"Silva CGS","year":"2022","journal-title":"Mayo Clin Proc"},{"issue":"17","key":"ref16","doi-asserted-by":"crossref","DOI":"10.3390\/s20174791","article-title":"Recognition and Repetition Counting for Local Muscular Endurance Exercises in Exercise-Based Rehabilitation: A Comparative Study Using Artificial Intelligence Models","volume":"20","author":"Prabhu G","year":"2020","journal-title":"Sensors (Basel)"},{"issue":"4","key":"ref17","doi-asserted-by":"crossref","DOI":"10.1136\/bmjopen-2023-079404","article-title":"Feasibility Study of Rehabilitation for Cardiac Patients Aided by an Artificial Intelligence Web-Based Programme: A Randomised Controlled Trial (RECAP trial)-A Study Protocol","volume":"14","author":"Witharana P","year":"2024","journal-title":"BMJ Open"},{"key":"ref18","series-title":"A Systematic Review of NLP Applications in Clinical Healthcare: Advancement and Challenges","first-page":"31","volume":"892","author":"Garg R","year":"2024"},{"issue":"2","key":"ref19","article-title":"Interventions to Promote Patient Utilisation of Cardiac Rehabilitation","volume":"2","author":"Pio CSA","year":"2019","journal-title":"Cochrane Database Syst Rev"},{"issue":"2","key":"ref20","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1136\/heartjnl-2018-313189","article-title":"Effects and Costs of Real-Time Cardiac Telerehabilitation: Randomised Controlled Non-Inferiority Trial","volume":"105","author":"Maddison R","year":"2019","journal-title":"Heart"},{"issue":"8","key":"ref21","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0273815","article-title":"Improving Cardiac Rehabilitation Patient Adherence via Personalized Interventions","volume":"17","author":"Aharon KB","year":"2022","journal-title":"PLoS One"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.pcad.2022.01.003","article-title":"Enhancing Participation in Cardiac Rehabilitation: Focus on Underserved Populations","volume":"70","author":"Ades PA","year":"2022","journal-title":"Prog Cardiovasc Dis"},{"issue":"1","key":"ref23","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.jacc.2019.03.008","article-title":"Home-Based Cardiac Rehabilitation: A Scientific Statement from the American Association of Cardiovascular and Pulmonary Rehabilitation, the American Heart Association, and the American College of Cardiology","volume":"74","author":"Thomas RJ","year":"2019","journal-title":"J Am Coll Cardiol"},{"key":"ref24","first-page":"1","article-title":"Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities Using Electrocardiogram Images","volume":"1","author":"Zhang D","year":"2023","journal-title":"arXiv"},{"issue":"1","key":"ref25","doi-asserted-by":"crossref","first-page":"13","DOI":"10.4274\/nts.galenos.2024.0002","article-title":"Artificial Intelligence Applications in Nuclear Cardiology","volume":"10","author":"Kara\u00e7avus S","year":"2024","journal-title":"Nucl Med Semin"},{"issue":"2","key":"ref26","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1177\/1474515117721129","article-title":"Is the 10 m Incremental Shuttle Walk Test a Useful Test of Exercise Capacity for Patients Referred to Cardiac Rehabilitation?","volume":"17","author":"Hanson LC","year":"2018","journal-title":"Eur J Cardiovasc Nurs"},{"issue":"11","key":"ref27","doi-asserted-by":"crossref","first-page":"2787","DOI":"10.1007\/s11136-016-1316-4","article-title":"International SF-36 Reference Values in Patients with Ischemic Heart Disease","volume":"25","author":"Huber A","year":"2016","journal-title":"Qual Life Res"},{"key":"ref28","series-title":"WHO Guidelines on Physical Activity and Sedentary Behaviour","year":"2020"},{"issue":"9","key":"ref29","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1016\/j.jacc.2023.04.003","article-title":"2023 AHA\/ACC\/ACCP\/ASPC\/NLA\/PCNA Guideline for the Management of Patients with Chronic Coronary Disease: A Report of the American Heart Association\/American College of Cardiology Joint Committee on Clinical Practice Guidelines","volume":"82","author":"Virani SS","year":"2023","journal-title":"J Am Coll Cardiol"},{"issue":"1","key":"ref30","first-page":"1","article-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","volume":"2","author":"Devlin J","year":"2019","journal-title":"ArXiv"},{"key":"ref31","author":"\u00c7elikten A","year":"2021"},{"issue":"8","key":"ref32","doi-asserted-by":"crossref","first-page":"972","DOI":"10.1177\/2047487314540840","article-title":"The Minimum Clinically Important Improvement in the Incremental Shuttle Walk Test Following Cardiac Rehabilitation","volume":"22","author":"Houchen-Wolloff L","year":"2015","journal-title":"Eur J Prev Cardiol"},{"issue":"2","key":"ref33","doi-asserted-by":"crossref","first-page":"154","DOI":"10.2217\/fca-2021-0010","article-title":"Harnessing Artificial Intelligence in Cardiac Rehabilitation, a Systematic Review","volume":"18","author":"Sotirakos S","year":"2022","journal-title":"Future Cardiol"},{"issue":"2","key":"ref34","doi-asserted-by":"crossref","first-page":"45","DOI":"10.31083\/j.rcm2302045","article-title":"Mobilizing Artificial Intelligence to Cardiac Telerehabilitation","volume":"23","author":"Su J","year":"2022","journal-title":"Rev Cardiovasc Med"},{"issue":"5","key":"ref35","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1177\/2047487317750913","article-title":"Effectiveness, Acceptability and Usefulness of Mobile Applications for Cardiovascular Disease Self-Management: Systematic Review with Meta-Synthesis of Quantitative and Qualitative Data","volume":"25","author":"Coorey GM","year":"2018","journal-title":"Eur J Prev Cardiol"},{"issue":"9","key":"ref36","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1007\/s12471-020-01432-y","article-title":"Cardiac Telerehabilitation as an Alternative to Centre-Based Cardiac Rehabilitation","volume":"28","author":"Brouwers RWM","year":"2020","journal-title":"Neth Heart J"},{"issue":"2","key":"ref37","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1007\/s00424-019-02266-3","article-title":"Cardiac Adaptation to Exercise Training in Health and Disease","volume":"472","author":"Seo DY","year":"2020","journal-title":"Pflugers Arch"},{"key":"ref38","doi-asserted-by":"crossref","DOI":"10.2196\/46359","article-title":"Longer-Term Effects of Cardiac Telerehabilitation on Patients with Coronary Artery Disease: Systematic Review and Meta-Analysis","volume":"11","author":"Zhong W","year":"2023","journal-title":"JMIR Mhealth Uhealth"},{"key":"ref39","doi-asserted-by":"crossref","DOI":"10.1155\/2023\/5147805","article-title":"Efficacy and Safety of Hybrid Comprehensive Telerehabilitation (HCTR) for Cardiac Rehabilitation in Patients with Cardiovascular Disease: A Systematic Review and Meta-Analysis of Randomized Controlled Trials","volume":"2023","author":"Yang Z","year":"2023","journal-title":"Occup Ther Int"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.gerinurse.2024.05.036","article-title":"Effectiveness of Home-Based Cardiac Telerehabilitation Based on Wearable ECG or Heart Rate Monitoring Devices in Patients with Heart Disease: A Meta-Analysis of Randomized Controlled Trials","volume":"58","author":"Gong XY","year":"2024","journal-title":"Geriatr Nurs"},{"issue":"4","key":"ref41","doi-asserted-by":"crossref","DOI":"10.3390\/diagnostics12040926","article-title":"Patient Perception When Transitioning from Classic to Remote Assisted Cardiac Rehabilitation","volume":"12","author":"Busnatu S","year":"2022","journal-title":"Diagnostics"}],"container-title":["Arquivos Brasileiros de Cardiologia"],"original-title":["The Impact of Technology-Based Cardiac Rehabilitation on Exercise Capacity and Adherence in Patients with Coronary Artery Disease: An Artificial Intelligence Analysis"],"link":[{"URL":"https:\/\/abccardiol.org\/wp-content\/uploads\/articles_xml\/0066-782x-abc-122-6-e20240765\/0066-782x-abc-122-6-e20240765.x95083.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T11:59:35Z","timestamp":1749211175000},"score":1,"resource":{"primary":{"URL":"https:\/\/abccardiol.org\/article\/impacto-da-reabilitacao-cardiaca-baseada-em-tecnologia-na-capacidade-de-exercicio-e-na-adesao-de-pacientes-com-doenca-arterial-coronariana-uma-analise-com-suporte-de-inteligencia-artificial\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":41,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2025]]}},"alternative-id":["S0066-782X2025000600305"],"URL":"https:\/\/doi.org\/10.36660\/abc.20240765","relation":{"is-translation-of":[{"id-type":"doi","id":"10.36660\/abc.20240765i","asserted-by":"subject"},{"id-type":"doi","id":"10.36660\/abc.20240765i","asserted-by":"object"}]},"ISSN":["1678-4170","0066-782X"],"issn-type":[{"value":"1678-4170","type":"electronic"},{"value":"0066-782X","type":"print"}],"subject":[],"published":{"date-parts":[[2025]]},"article-number":"e20240765"}}