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Updated: Dec 14, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
Published on: September 25, 2021
Introduction to Machine Learning, Neural Networks, and Deep Learning
Rene Y Choi1, Aaron S Coyner2, Jayashree Kalpathy-Cramer3
1Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University (OHSU), Portland, Oregon, United States.
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.
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