Introduction to Machine Learning, Neural Networks, and Deep Learning

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.

Keywords: artificial intelligence; deep learning; machine learning.