Introduction to Machine Learning, Neural Networks, and Deep Learning

• Published in: Translational vision science & technology Vol. 9; no. 2; p. 14
• Main Authors: Choi, Rene Y, Coyner, Aaron S, Kalpathy-Cramer, Jayashree, Chiang, Michael F, Campbell, J Peter
• Format: Journal Article
• Language: English
• Published: United States The Association for Research in Vision and Ophthalmology 27.02.2020
• Subjects: Artificial Intelligence; Deep Learning; Machine Learning; Neural Networks, Computer; Ophthalmology; Special Issue; machine learning; deep learning; artificial intelligence
• ISSN: 2164-2591; 2164-2591
• DOI: 10.1167/tvst.9.2.14

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. 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. A review of machine learning and deep learning methodology for the audience without an extensive technical computer programming background. Artificial intelligence has a promising future in medicine; however, many challenges remain. 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.