ChatGPT Responses to Clinical Questions in the Japan Atherosclerosis Society Guidelines for Prevention of Atherosclerotic Cardiovascular Disease 2022.

Journal: Journal of atherosclerosis and thrombosis

PMID: 39477517

Abstract

AIMS: Artificial intelligence is increasingly used in the medical field. We assessed the accuracy and reproducibility of responses by ChatGPT to clinical questions (CQs) in the Japan Atherosclerosis Society Guidelines for Prevention Atherosclerotic Cardiovascular Diseases 2022 (JAS Guidelines 2022).

Authors

Takashi Hisamatsu

Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences.
Mari Fukuda

Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences.
Minako Kinuta

Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences.
Hideyuki Kanda

Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences.

Keywords

Artificial Intelligence Atherosclerosis Cardiovascular Diseases Generative Artificial Intelligence Humans Japan Practice Guidelines as Topic Reproducibility of Results Societies, Medical Surveys and Questionnaires

External Resources

View on PubMed Access via DOI PubMed (39477517)

ChatGPT Responses to Clinical Questions in the Japan Atherosclerosis Society Guidelines for Prevention of Atherosclerotic Cardiovascular Disease 2022.

Abstract

Authors

Keywords

External Resources

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