The field of cardiovascular medicine evolved rapidly, driven by the growing need to address complex and multifactorial patient conditions. The expanding volume of scientific publications, clinical guidelines, and patient data created both opportunities and challenges for clinicians and researchers.
In this context, artificial intelligence (AI) emerged as a tool to support evidence-based practice and streamline research processes. Among AI technologies, ChatGPT—a large language model developed by OpenAI—gained attention for its potential to summarize literature, assist in data interpretation, and enhance workflow efficiency.
This review explored the efficiency of ChatGPT in identifying cardiovascular medicine, including generating research hypotheses, designing studies, supporting evidence-based decisions, and improving communication with patients. ChatGPT handled large datasets and medical publications, making research more accessible and efficient. It also helped produce educational materials tailored to patients, facilitating more personalized care.
However, the use of generative AI raised concerns about accuracy, ethics, and the lack of clinical judgment. Risks such as false information, privacy issues, and overreliance on AI emphasized the need for careful oversight, validation, and clear guidelines.
Although ChatGPT could not replace healthcare professionals, it served as a complementary tool that supported research and innovation. By assisting clinicians and researchers in managing complex data and rapidly changing evidence, ChatGPT demonstrated potential to improve the efficiency and responsiveness of cardiovascular care.
Reference:
1. Uchmanowicz I, Jędrzejczyk M, Vellone E, Janczak S, Mirkowski K, Uchmanowicz BM, Czapla M. ChatGPT in cardiovascular medicine: revolution, hype, or helper? Front Public Health. 2025;13:1622561. https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1622561/full
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