Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/31944
Title: A Tête-à-tête with ChatGPT on the impact of artificial intelligence in medical education
Authors: Ramachandran, Vignesh
Palanisamy, Pradeep
Pachamuthu, Balakrishnan
(UniKL RCMP)
Keywords: Artificial intelligence
ChatGPT
Medical Education
Issue Date: Jul-2023
Publisher: Malaysian Medical Association
Citation: Ramachandran, V., Palanisamy P, Pachamuthu, B. (2023). A Tête-à-tête with ChatGPT on the impact of artificial intelligence in medical education. The Medical Journal of Malaysia, 78(4). https://pubmed.ncbi.nlm.nih.gov/37518931/
Abstract: Chat Generative Pre-Trained Transformer (ChatGPT) is an artificial intelligence (AI) language model developed by OpenAI. It is trained to process vast amounts of text and engage in human-like conversational interaction with users. Being accessible by all, it is widely used and its capabilities range from language translation, summarising long texts and creative writing. This article explores the potential role of ChatGPT in medical education and the possible concerns about the misuse of this technology through a conversation with ChatGPT itself via text prompts. The implications of this technology in medical education as told by ChatGPT are interesting and seemingly helpful for both the students and the tutors. However, this could be a double-edged sword considering the risks of compromised students’ integrity and concerns of over-reliance. This also calls for counter strategies and policies in place to mitigate these risks.
URI: https://e-mjm.org/2023/v78n4/artificial-intelligence-in-medical.pdf
https://ir.unikl.edu.my/jspui/handle/123456789/31944
ISSN: 03005283
Appears in Collections:Journal Articles



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