Introducing artificial intelligence training in medical education

Health care is evolving and with it the need to reform medical education. As the practice of medicine enters the age of artificial intelligence (AI), the use of data to improve clinical decision making will grow, pushing the need for skillful medicine-machine interaction. As the rate of medical know...

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Main Authors: Paranjape, Ketan, Schinkel, Michiel, Panday, Rishi Nannan, Car, Josip, Nanayakkara, Prabath
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/146357
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1463572023-03-05T16:45:12Z Introducing artificial intelligence training in medical education Paranjape, Ketan Schinkel, Michiel Panday, Rishi Nannan Car, Josip Nanayakkara, Prabath Lee Kong Chian School of Medicine (LKCMedicine) Science::Medicine Algorithm Artificial Intelligence Health care is evolving and with it the need to reform medical education. As the practice of medicine enters the age of artificial intelligence (AI), the use of data to improve clinical decision making will grow, pushing the need for skillful medicine-machine interaction. As the rate of medical knowledge grows, technologies such as AI are needed to enable health care professionals to effectively use this knowledge to practice medicine. Medical professionals need to be adequately trained in this new technology, its advantages to improve cost, quality, and access to health care, and its shortfalls such as transparency and liability. AI needs to be seamlessly integrated across different aspects of the curriculum. In this paper, we have addressed the state of medical education at present and have recommended a framework on how to evolve the medical education curriculum to include AI. Published version 2021-02-11T00:52:54Z 2021-02-11T00:52:54Z 2019 Journal Article Paranjape, K., Schinkel, M., Panday, R. N., Car, J., & Nanayakkara, P. (2019). Introducing Artificial Intelligence Training in Medical Education. JMIR Medical Education, 5(2), e16048-. doi:10.2196/16048 2369-3762 https://hdl.handle.net/10356/146357 10.2196/16048 31793895 2 5 en JMIR medical education © Ketan Paranjape, Michiel Schinkel, Rishi Nannan Panday, Josip Car, Prabath Nanayakkara. Originally published in JMIR Medical Education (http://mededu.jmir.org), 03.12.2019. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Education, is properly cited. The complete bibliographic information, a link to the original publication on http://mededu.jmir.org/, as well as this copyright and license information must be included. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Medicine
Algorithm
Artificial Intelligence
spellingShingle Science::Medicine
Algorithm
Artificial Intelligence
Paranjape, Ketan
Schinkel, Michiel
Panday, Rishi Nannan
Car, Josip
Nanayakkara, Prabath
Introducing artificial intelligence training in medical education
description Health care is evolving and with it the need to reform medical education. As the practice of medicine enters the age of artificial intelligence (AI), the use of data to improve clinical decision making will grow, pushing the need for skillful medicine-machine interaction. As the rate of medical knowledge grows, technologies such as AI are needed to enable health care professionals to effectively use this knowledge to practice medicine. Medical professionals need to be adequately trained in this new technology, its advantages to improve cost, quality, and access to health care, and its shortfalls such as transparency and liability. AI needs to be seamlessly integrated across different aspects of the curriculum. In this paper, we have addressed the state of medical education at present and have recommended a framework on how to evolve the medical education curriculum to include AI.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
Paranjape, Ketan
Schinkel, Michiel
Panday, Rishi Nannan
Car, Josip
Nanayakkara, Prabath
format Article
author Paranjape, Ketan
Schinkel, Michiel
Panday, Rishi Nannan
Car, Josip
Nanayakkara, Prabath
author_sort Paranjape, Ketan
title Introducing artificial intelligence training in medical education
title_short Introducing artificial intelligence training in medical education
title_full Introducing artificial intelligence training in medical education
title_fullStr Introducing artificial intelligence training in medical education
title_full_unstemmed Introducing artificial intelligence training in medical education
title_sort introducing artificial intelligence training in medical education
publishDate 2021
url https://hdl.handle.net/10356/146357
_version_ 1759856736564412416