Can ChatGPT be Trusted for Consulting? Uncovering Doctor’s Perceptions Using Deep Learning Techniques

Since the introduction of ChatGPT by OpenAI in late 2022, the question of whether doctors can employ it for consultation has been a subject of debate. ChatGPT is a deep learning model trained on a vast dataset, but concerns about the reliability of its output have been a subject of debate in recent...

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Bibliographic Details
Published inAnnals of biomedical engineering Vol. 51; no. 10; pp. 2116 - 2119
Main Authors Praveen, S. V., Vajrobol, Vajratiya
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.10.2023
Springer Nature B.V
Subjects
Biochemistry
Biological and Medical Physics
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Biophysics
Chatbots
Classical Mechanics
Coders
Data mining
Deep learning
Letter to the Editor
Machine learning
Sentiment analysis
Deep learning
Doctor
ChatGPT
Artificial Intelligence
Consulting
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Summary:Since the introduction of ChatGPT by OpenAI in late 2022, the question of whether doctors can employ it for consultation has been a subject of debate. ChatGPT is a deep learning model trained on a vast dataset, but concerns about the reliability of its output have been a subject of debate in recent times. In this article, we have employed cutting-edge bidirectional encoder representations from transformers (BERT) sentiment analysis and topic modeling techniques to comprehend doctors' attitudes toward using ChatGPT in consultation.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Correspondence-1
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ISSN:0090-6964
1573-9686
1573-9686
DOI:10.1007/s10439-023-03245-7