Accepted for/Published in: JMIR Medical Education
Date Submitted: Apr 12, 2020
Date Accepted: Jun 14, 2020
Intelligent Healthcare Education: A Systematic Review of Artificial Intelligence Tools and Artificial Intelligence Education for Medical and Health Informatics Students
ABSTRACT
Background:
The use of artificial intelligence (AI) in medicine will be generating endless application possibilities to improve patient care, real-time data analytics and continuous patient monitoring. Clinicians and health informaticians should become familiar with machine learning (ML), deep learning (DL), and have a strong background in data analytics and data visualization in order to use, evaluate and develop AI applications in clinical practice.
Objective:
The main objective of this study was to evaluate the use of AI tools to enhance the learning experience and the current state of AI training.
Methods:
A comprehensive systematic review was conducted to analyze the use of AI and how AI education was integrated into medical and health informatics curricula.
Results:
We determined two categories: the studies that focused on the use of AI tools to enhance medical education and the studies that investigated teaching AI as a new competency. Our review revealed that recent publications recommend the integration of AI training into medical and health informatics curricula.
Conclusions:
To the best of our knowledge, this is the first systematic review exploring the current state of AI education in both medicine and health informatics. Because AI curriculum and competencies were not determined yet, we developed a framework for specialized AI training in medical and health informatics education. Clinical Trial: Not applicable
Citation
Per the author's request the PDF is not available.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.