Artificial Intelligence in Cardiac Rehabilitation: Assessing ChatGPT's Knowledge and Clinical Scenario Responses

ChatGPT shows promise as a complementary decision-support tool in CR by providing guideline-compliant information. However, limitations in contextual understanding and lack of real-world validation restrict its independent clinical use. Future improvements should focus on personalization, clinical validation, and integration with healthcare professionals.

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Publication Details

Journal
Turk Kardiyoloji Dernegi Arsivi-Archives of the Turkish Society of Cardiology
Published
2025-01-01
DOI
https://doi.org/10.5543/tkda.2025.57195
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
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article

Artificial Intelligence in Cardiac Rehabilitation: Assessing ChatGPT's Knowledge and Clinical Scenario Responses

Muhammet Geneş
2 citations
Turk Kardiyoloji Dernegi Arsivi-Archives of the Turkish Society of Cardiology
Artificial Intelligence in Healthcare and Education
1.31
article

Artificial Intelligence in Cardiac Rehabilitation: Assessing ChatGPT's Knowledge and Clinical Scenario Responses

Muhammet Geneş
article en
2 citations

Abstract

ChatGPT shows promise as a complementary decision-support tool in CR by providing guideline-compliant information. However, limitations in contextual understanding and lack of real-world validation restrict its independent clinical use. Future improvements should focus on personalization, clinical validation, and integration with healthcare professionals.

Turk Kardiyoloji Dernegi Arsivi-Archives of the Turkish Society of CardiologyVol. 53(3)
Ministry of Health (TR), Education Training And Research (US)
Openalex Percentile: Top 17%
Artificial Intelligence in Healthcare and Education
1.31
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