Machine learning and pre-medical education

Vijaya B Kolachalama

doi:10.1016/j.artmed.2022.102313

Machine learning and pre-medical education

Artif Intell Med. 2022 Jul:129:102313. doi: 10.1016/j.artmed.2022.102313. Epub 2022 May 4.

Author

Vijaya B Kolachalama¹

Affiliation

¹ Department of Medicine, Boston University School of Medicine, Boston 02118, MA, USA; Department of Computer Science and Faculty of Computing & Data Sciences, Boston University, Boston 02215, MA, USA. Electronic address: vkola@bu.edu.

Abstract

Machine learning and artificial intelligence (AI)-driven technologies are contributing significantly to various facets of medicine and care management. It is likely that the next generation of healthcare professionals will be confronted with a series of innovations that are powered by AI, and they may not have sufficient time during their professional tenure to learn about the underlying machine learning frameworks that are driving these systems. Educating the aspiring clinicians and care providers with the right foundational courses in machine learning as part of postsecondary education will likely transform them as high-tech physicians and care providers of the future.

Keywords: Education; Machine learning; Medical professionals; Postsecondary education; Pre-medical.

Publication types

Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural

MeSH terms

Artificial Intelligence
Education, Medical*
Humans
Machine Learning
Medicine*
Physicians*

Abstract

Publication types

MeSH terms

Grants and funding