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      Introducing Artificial Intelligence Training in Medical Education

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          Abstract

          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.

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          Most cited references58

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          I.—COMPUTING MACHINERY AND INTELLIGENCE

          A Turing (1950)
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            Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.

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              Artificial intelligence in healthcare

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                Author and article information

                Contributors
                Journal
                JMIR Med Educ
                JMIR Med Educ
                JME
                JMIR Medical Education
                JMIR Publications (Toronto, Canada )
                2369-3762
                Jul-Dec 2019
                3 December 2019
                : 5
                : 2
                : e16048
                Affiliations
                [1 ] Amsterdam University Medical Center Amsterdam Netherlands
                [2 ] Department of Internal Medicine Amsterdam University Medical Center Amsterdam Netherlands
                [3 ] Section Acute Medicine, Department of Internal Medicine Vrije Universiteit University Medical Center Amsterdam Netherlands
                [4 ] Lee Kong Chian School of Medicine Nanyang Technological University Singapore Singapore
                Author notes
                Corresponding Author: Ketan Paranjape ketanp@ 123456alumni.gsb.stanford.edu
                Author information
                https://orcid.org/0000-0001-5330-8330
                https://orcid.org/0000-0002-9357-9917
                https://orcid.org/0000-0002-4582-8130
                https://orcid.org/0000-0001-8969-371X
                https://orcid.org/0000-0002-1555-3682
                Article
                v5i2e16048
                10.2196/16048
                6918207
                31793895
                bfc43d28-2201-4087-b6e4-aae507db1944
                ©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.

                History
                : 9 September 2019
                : 11 October 2019
                : 16 October 2019
                : 20 October 2019
                Categories
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                algorithm,artificial intelligence,black box,deep learning,machine learning,medical education,continuing education,data sciences,curriculum

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