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REVIEW article

Front. Public Health

Sec. Digital Public Health

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1622561

This article is part of the Research TopicArtificial Intelligence Algorithms and Cardiovascular Disease Risk AssessmentView all 8 articles

ChatGPT in Cardiovascular Medicine: Revolution, Hype, or Helper?

Provisionally accepted
Izabella  Uchmanowicz, RN. PhD, MBA,FESC, FHFAIzabella Uchmanowicz, RN. PhD, MBA,FESC, FHFA1,2Maria  JędrzejczykMaria Jędrzejczyk1,3Ercole  VelloneErcole Vellone1,4Sara  JanczakSara Janczak3Karol  MirkowskiKarol Mirkowski3Bartosz  M UchmanowiczBartosz M Uchmanowicz5Michał  Czapla, PhD, RD, EMT-P, FESCMichał Czapla, PhD, RD, EMT-P, FESC6*
  • 1Department of Nursing, Faculty of Nursing and Midwifery, Wroclaw Medical University, Wroclaw, Poland
  • 2Centre for Cardiovascular Health, Edinburgh Napier University, Edinburgh, United Kingdom
  • 3Student Scientific Association, Wroclaw Medical University, Wroclaw, Poland
  • 4Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
  • 5Faculty of Electronics, Photonics and Microsystems, Wroclaw University of Technology, Wroclaw, Poland
  • 6Division of Scientific Research and Innovation in Emergency Medical Service, Department of Emergency Medical Service, Faculty of Nursing and Midwifery, Wroclaw Medical University, Wroclaw, Poland

The final, formatted version of the article will be published soon.

The integration of artificial intelligence (AI) into healthcare has opened new frontiers in clinical research and practice, particularly in data-rich disciplines like cardiovascular medicine. Among recent advancements, ChatGPT-a large language model developed by OpenAI-has garnered increasing attention for its potential to streamline workflows, support literature synthesis, and facilitate data interpretation. This review examines the multifaceted applications of ChatGPT in cardiovascular medicine, including its use in hypothesis generation, research design, evidence-based decision-making, and patient communication.ChatGPT offers the ability to process and summarize large volumes of medical literature and patient data, potentially enhancing the efficiency and accessibility of research activities. It can also assist in creating patient-friendly educational materials and support patient-centered care through more personalized communication. However, the use of generative AI models in clinical research raises critical concerns related to the accuracy of generated content, ethical implications, and the absence of contextual clinical judgment. Limitations such as hallucinations, data privacy issues, and the risk of overreliance on non-human decisionmaking must be addressed through rigorous oversight, validation, and clear guidelines for responsible use. While not a substitute for human expertise, ChatGPT can act as a valuable complementary tool that enhances research productivity and innovation in cardiovascular medicine. By supporting clinicians and researchers in navigating complex datasets and rapidly evolving evidence, ChatGPT holds promise as a facilitator of more efficient, inclusive, and responsive cardiovascular care-provided its integration is approached with caution and critical appraisal.

Keywords: artificial intelligence, Cardiovacular diseases, Evidence-Based Practice, ChatGPT, clinical decision-making

Received: 08 May 2025; Accepted: 29 Aug 2025.

Copyright: © 2025 Uchmanowicz, RN. PhD, MBA,FESC, FHFA, Jędrzejczyk, Vellone, Janczak, Mirkowski, Uchmanowicz and Czapla, PhD, RD, EMT-P, FESC. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Michał Czapla, PhD, RD, EMT-P, FESC, Division of Scientific Research and Innovation in Emergency Medical Service, Department of Emergency Medical Service, Faculty of Nursing and Midwifery, Wroclaw Medical University, Wroclaw, Poland

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