Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Harnessing the Power of ChatGPT in Cardiovascular Medicine: Innovations, Challenges, and Future Directions

Version 1 : Received: 28 August 2024 / Approved: 28 August 2024 / Online: 28 August 2024 (05:23:30 CEST)

How to cite: Leon, M.; Ruaengsri, C.; Pelletier, G. J.; Bethencourt, D. M.; Shibata, M.; Flores, M. Q.; Shudo, Y. Harnessing the Power of ChatGPT in Cardiovascular Medicine: Innovations, Challenges, and Future Directions. Preprints 2024, 2024082015. https://doi.org/10.20944/preprints202408.2015.v1 Leon, M.; Ruaengsri, C.; Pelletier, G. J.; Bethencourt, D. M.; Shibata, M.; Flores, M. Q.; Shudo, Y. Harnessing the Power of ChatGPT in Cardiovascular Medicine: Innovations, Challenges, and Future Directions. Preprints 2024, 2024082015. https://doi.org/10.20944/preprints202408.2015.v1

Abstract

Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality globally, posing significant challenges to public health. The rapid development of artificial intelligence, particularly Large Language Models like ChatGPT, has revolutionized various fields, including cardiovascular medicine. ChatGPT, recognized for its broad applicability, efficiency, and public acceptance, has been integrated into multiple facets of CVD management. This comprehensive review examines the current applications of ChatGPT in cardiovascular medicine, emphasizing its innovative and significant role in enhancing diagnosis and clinical decision-making, improving medical education, and facilitating research and academic communication. Furthermore, the review article addresses the significant challenges associated with ChatGPT and proposes directions for future development to overcome these obstacles and boost its effectiveness. By exploring the vast potential of ChatGPT to meet the needs of the large CVD patient population and the extensive community of cardiovascular professionals, this review aims to provide valuable insights for optimizing its use in cardiovascular medicine, ultimately improving patient outcomes and advancing the field.

Keywords

cardiovascular diseases; artificial intelligence; ChatGPT

Subject

Medicine and Pharmacology, Cardiac and Cardiovascular Systems

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