A Convolutional Neural Network Using Multimodal Retinal Imaging for Differentiation of Mild Cognitive Impairment from Normal Cognition

A Convolutional Neural Network Using Multimodal Retinal Imaging for Differentiation of Mild Cognitive Impairment from Normal Cognition

Purpose: To develop a machine learning tool capable of differentiating eyes of subjects with normal cognition from those with mild cognitive impairment (MCI) using OCT and OCT angiography (OCTA). Design: Evaluation of a diagnostic technology. Participants: Subjects with normal cognition were compare...

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Bibliographic Details
Main Authors: C. Ellis Wisely, MD, MBA, Alexander Richardson, Ricardo Henao, PhD, Cason B. Robbins, MD, Justin P. Ma, MD, Dong Wang, PhD, Kim G. Johnson, MD, Andy J. Liu, MD, Dilraj S. Grewal, MD, Sharon Fekrat, MD, FASRS
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Ophthalmology Science
Subjects:
Convolutional neural network
Machine learning
Mild cognitive impairment
OCT
OCT angiography
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914523000878

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http://www.sciencedirect.com/science/article/pii/S2666914523000878

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