Literature DB >> 36204540

The Cases for and against Artificial Intelligence in the Medical School Curriculum.

Brandon Ngo1, Diep Nguyen1, Eric vanSonnenberg1.   

Abstract

Although artificial intelligence (AI) has immense potential to shape the future of medicine, its place in undergraduate medical education currently is unclear. Numerous arguments exist both for and against including AI in the medical school curriculum. AI likely will affect all medical specialties, perhaps radiology more so than any other. The purpose of this article is to present a balanced perspective on whether AI should be included officially in the medical school curriculum. After presenting the balanced point-counterpoint arguments, the authors provide a compromise. Keywords: Artificial Intelligence, Medical Education, Medical School Curriculum, Medical Students, Radiology, Use of AI in Education © RSNA, 2022.
© 2022 by the Radiological Society of North America, Inc.

Entities:  

Keywords:  Artificial Intelligence; Medical Education; Medical School Curriculum; Medical Students; Radiology; Use of AI in Education

Year:  2022        PMID： 36204540      PMCID： PMC9530767          DOI： 10.1148/ryai.220074

Source DB:  PubMed          Journal:  Radiol Artif Intell        ISSN： 2638-6100


  39 in total

1.  Will Artificial Intelligence Replace Radiologists?

Authors:  Curtis P Langlotz
Journal:  Radiol Artif Intell       Date:  2019-05-15

2.  Adversarial attacks on medical machine learning.

Authors:  Samuel G Finlayson; John D Bowers; Joichi Ito; Jonathan L Zittrain; Andrew L Beam; Isaac S Kohane
Journal:  Science       Date:  2019-03-22       Impact factor: 47.728

3.  Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.

Authors:  John R Zech; Marcus A Badgeley; Manway Liu; Anthony B Costa; Joseph J Titano; Eric Karl Oermann
Journal:  PLoS Med       Date:  2018-11-06       Impact factor: 11.069

4.  What the radiologist should know about artificial intelligence - an ESR white paper.

Authors: 
Journal:  Insights Imaging       Date:  2019-04-04

Review 5.  Machine learning and medical education.

Authors:  Vijaya B Kolachalama; Priya S Garg
Journal:  NPJ Digit Med       Date:  2018-09-27

6.  The Virtual Operative Assistant: An explainable artificial intelligence tool for simulation-based training in surgery and medicine.

Authors:  Nykan Mirchi; Vincent Bissonnette; Recai Yilmaz; Nicole Ledwos; Alexander Winkler-Schwartz; Rolando F Del Maestro
Journal:  PLoS One       Date:  2020-02-27       Impact factor: 3.240

7.  Key challenges for delivering clinical impact with artificial intelligence.

Authors:  Christopher J Kelly; Alan Karthikesalingam; Mustafa Suleyman; Greg Corrado; Dominic King
Journal:  BMC Med       Date:  2019-10-29       Impact factor: 8.775

8.  Introducing Artificial Intelligence Training in Medical Education.

Authors:  Ketan Paranjape; Michiel Schinkel; Rishi Nannan Panday; Josip Car; Prabath Nanayakkara
Journal:  JMIR Med Educ       Date:  2019-12-03

9.  Machine learning in medical education: a survey of the experiences and opinions of medical students in Ireland.

Authors:  Charlotte Blease; Anna Kharko; Michael Bernstein; Colin Bradley; Muiris Houston; Ian Walsh; Maria Hägglund; Catherine DesRoches; Kenneth D Mandl
Journal:  BMJ Health Care Inform       Date:  2022-02

Review 10.  How does artificial intelligence in radiology improve efficiency and health outcomes?

Authors:  Kicky G van Leeuwen; Maarten de Rooij; Steven Schalekamp; Bram van Ginneken; Matthieu J C M Rutten
Journal:  Pediatr Radiol       Date:  2021-06-12
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