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Introduction to Machine Learning, Neural Networks, and Deep Learning

Authors :
Choi, Rene Y.
Coyner, Aaron S.
Kalpathy-Cramer, Jayashree
Chiang, Michael F.
Campbell, J. Peter
Source :
Translational Vision Science & Technology
Publication Year :
2020

Abstract

Purpose To present an overview of current machine learning methods and their use in medical research, focusing on select machine learning techniques, best practices, and deep learning. Methods A systematic literature search in PubMed was performed for articles pertinent to the topic of artificial intelligence methods used in medicine with an emphasis on ophthalmology. Results A review of machine learning and deep learning methodology for the audience without an extensive technical computer programming background. Conclusions Artificial intelligence has a promising future in medicine; however, many challenges remain. Translational Relevance The aim of this review article is to provide the nontechnical readers a layman's explanation of the machine learning methods being used in medicine today. The goal is to provide the reader a better understanding of the potential and challenges of artificial intelligence within the field of medicine.

Details

ISSN :
21642591
Volume :
9
Issue :
2
Database :
OpenAIRE
Journal :
Translational vision sciencetechnology
Accession number :
edsair.pmid.dedup....5f6dcef368018a2828536dc072036748