Preparing Tomorrow's Physicians: The Case for Machine Learning in Medical Education.

Journal: Journal of medical systems
Published Date:

Abstract

Machine learning should be integrated into medical curricula to prepare physicians-in-training for 21st-century practice conditions. This comment proposes practical implementation strategies that build upon existing educational frameworks by drawing parallels to traditional statistical methods. By incorporating these skills through a phased approach, medical education can fulfill its duty to the public by preparing future physicians to effectively evaluate emergent technology, identify potential sources of bias, and better serve patients.

Authors

  • Julian Michael Burwell
    Department of Medical Education, Geisinger Commonwealth School of Medicine, Scranton, PA, USA. jburwell1@som.geisinger.edu.