The Impact,Challenges,and Responses of ChatGPT to the Development of Evidence-Based Medicine
This article explores the potential applications of ChatGPT in the field of evidence-based medicine(EBM),analyzing the challenges it may bring and proposing corresponding strategies.As one of today's hottest artificial intelligence technologies,ChatGPT plays a significant role in advancing the field of evidence-based medicine.It aids in expanding the sources of original evidence,enhancing the efficiency of evidence acquisition,supporting shared decision-making between doctors and patients,and promoting education in evidence-based medicine and health literacy.Currently,ChatGPT is in its"technological budding phase,"and it is crucial to be wary of the risks it presents,such as"evidence contamination,"algorithmic black boxes,security vulnerabilities,and digital divide.To balance the positive effects and potential risks of ChatGPT in evidence-based medicine,we offer countermeasures and suggestions from the perspectives of ethical regulation,evidence sources,expert verification,and usage norms.
ChatGPTevidence-based medicineartificial intelligencenatural language processing
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