Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/31928
Title: Exploring the hurdles in Integrating Artificial Intelligence in Medical Education: A Talk with ChatgpT
Authors: Ramachandran, Vignesh
Palanisamy, Pradeep
Jaganathan, Ravindran
(UniKL RCMP)
Keywords: Artificial intelligence
ChatGPT
Medical education
Issue Date: 2023
Publisher: Penerbit Universiti Sains Malaysia
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
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.
URI: https://eduimed.usm.my/EIMJ20231502/EIMJ20231502_09.pdf
https://ir.unikl.edu.my/jspui/handle/123456789/31928
ISSN: 21801932
Appears in Collections:Journal Articles



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.