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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
SSRN Electronic Journal
Article . 2023 . Peer-reviewed
Data sources: Crossref
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The Good, the Bad, and the Ugly of ChatGPT in Medical Education

Authors: Heston, Thomas F.; Khun, Charya;

The Good, the Bad, and the Ugly of ChatGPT in Medical Education

Abstract

Chat GPT offers interactive and personalized learning, granting students access to vast medical knowledge and potentially enhancing critical thinking and problem-solving skills. However, challenges arise, including misinformation risks, reduced human interaction, and ethical considerations. Future physicians' professional identity and autonomy may be threatened, while over-reliance on Chat GPT can compromise patient safety. Striking a balance is crucial, emphasizing technology integration while preserving humanistic aspects. Mitigation strategies like human oversight, curated content, and critical appraisal skills can address these concerns. Responsible integration empowers future physicians and upholds core medical values, maximizing benefits and preparing students for new complexities introduced by advanced technology in medicine.

Country
United States
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Keywords

Medical Education, Artificial Intelligence or Cybernetics, 610

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
4
Top 10%
Average
Top 10%
6
8
Green