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Exploring the hurdles in Integrating Artificial Intelligence in Medical Education: A Talk with ChatgpT

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dc.contributor.author Ramachandran, Vignesh
dc.contributor.author Palanisamy, Pradeep
dc.contributor.author Jaganathan, Ravindran
dc.contributor.author (UniKL RCMP)
dc.date.accessioned 2025-03-21T07:50:28Z
dc.date.available 2025-03-21T07:50:28Z
dc.date.issued 2023
dc.identifier.citation Ramachandran V., Palanisamy, P., & Jaganathan, R. (2023). Exploring the Hurdles in Integrating Artificial Intelligence in Medical Education: A Talk with ChatGPT. Education in Medicine Journal, 15(2), 103–106. https://doi.org/10.21315/eimj2023.15.2.9 en_US
dc.identifier.issn 21801932
dc.identifier.uri https://eduimed.usm.my/EIMJ20231502/EIMJ20231502_09.pdf
dc.identifier.uri https://ir.unikl.edu.my/jspui/handle/123456789/31928
dc.description.abstract The integration of artificial intelligence (AI) in the medical field is rapidly increasing, and its importance is recognised as it can analyse medical information and improve patient outcomes. The Chat Generative Pre-trained Transformer (ChatGPT) by OpenAI is a language model that can respond to prompts in a human-like manner and has the potential to transform medical education. In this conversation, the authors engage with ChatGPT to discuss the challenges associated with the application of AI in medical education. ChatGPT acknowledges the limitations of AI in medical education and the importance of students demonstrating their understanding during assessments. It also discusses the need for academic policies to ensure the responsible and ethical use of AI in medical education. en_US
dc.language.iso en en_US
dc.publisher Penerbit Universiti Sains Malaysia en_US
dc.subject Artificial intelligence en_US
dc.subject ChatGPT en_US
dc.subject Medical education en_US
dc.title Exploring the hurdles in Integrating Artificial Intelligence in Medical Education: A Talk with ChatgpT en_US
dc.type Article en_US


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