Artificial intelligence and advanced imaging analysis

Yue Wu; Aaron Y. Lee

doi:10.1016/B978-0-323-72213-1.00017-2

Artificial intelligence and advanced imaging analysis

Yue Wu
, Aaron Y. Lee

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The field of artificial intelligence and image analysis has been revolutionized by advances in deep learning. In this chapter, we describe the how deep learning developed and provide details on the mechanics of deep learning. Applications for retinal image analysis using deep learning techniques are reviewed along with current barriers to deployment of AI systems for clinical care. Finally, regulatory and ethical considerations are discussed as AI systems for image analysis are poised to transform the practice of medicine.

Original language	English
Title of host publication	Ryan's Retina
Subtitle of host publication	Volume 1-3, Seventh Edition
Publisher	Elsevier
Pages	223-259
Number of pages	37
Volume	1
ISBN (Electronic)	9780323722131
ISBN (Print)	9780323722148
DOIs	https://doi.org/10.1016/B978-0-323-72213-1.00017-2
State	Published - Jan 1 2022

Keywords

artificial intelligence
artificial neural networks
biomedical imaging
color fundus photography
computer vision
convolutional neural networks
deep learning
image analysis
image processing
machine learning
optical coherence tomography

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10.1016/B978-0-323-72213-1.00017-2

Cite this

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abstract = "The field of artificial intelligence and image analysis has been revolutionized by advances in deep learning. In this chapter, we describe the how deep learning developed and provide details on the mechanics of deep learning. Applications for retinal image analysis using deep learning techniques are reviewed along with current barriers to deployment of AI systems for clinical care. Finally, regulatory and ethical considerations are discussed as AI systems for image analysis are poised to transform the practice of medicine.",

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AB - The field of artificial intelligence and image analysis has been revolutionized by advances in deep learning. In this chapter, we describe the how deep learning developed and provide details on the mechanics of deep learning. Applications for retinal image analysis using deep learning techniques are reviewed along with current barriers to deployment of AI systems for clinical care. Finally, regulatory and ethical considerations are discussed as AI systems for image analysis are poised to transform the practice of medicine.

KW - artificial intelligence

KW - artificial neural networks

KW - biomedical imaging

KW - color fundus photography

KW - computer vision

KW - convolutional neural networks

KW - deep learning

KW - image analysis

KW - image processing

KW - machine learning

KW - optical coherence tomography

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BT - Ryan's Retina

PB - Elsevier

ER -

Artificial intelligence and advanced imaging analysis

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Keywords

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