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Introduction to Machine Learning, Neural Networks, and Deep Learning.

Rene Y Choi, Aaron S Coyner, Jayashree Kalpathy-Cramer, Michael F Chiang, J Peter Campbell

2020PubMed1,004 citationsDOIOpen Access PDF

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.

Topics & Concepts

Computer scienceArtificial intelligenceArtificial neural networkDeep learningMachine learningRetinal Imaging and AnalysisArtificial Intelligence in Healthcare and EducationOphthalmology and Visual Health Research
Introduction to Machine Learning, Neural Networks, and Deep Learning. | Litcius