Accelerating precision ophthalmology: recent advances
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Author(s)
Rahman, Loay
Hafejee, Ammaarah
Anantharanjit, Rajeevan
Wei, Wei
Cordeiro, Maria Francesca
Type
Journal Article
Abstract
Introduction
The future of ophthalmology is precision medicine. With a growing incidence of lifestyle-associated ophthalmic disease such as diabetic retinopathy, the use of technology has the potential to overcome the burden on clinical specialists. Advances in precision medicine will help improve diagnosis and better triage those with higher clinical need to the appropriate experts, as well as providing a more tailored approach to treatment that could help transform patient management.
Areas covered
A detailed literature review was conducted using OVID Medline and PubMed databases to explore advances in precision medicine within the areas of retinal disease, glaucoma, cornea, cataracts and uveitis. Over the last three years [2019 – 2022] are explored, particularly discussing technological and genomic advances in screening, diagnosis, and management within these fields.
Expert opinion
Artificial intelligence and its subspecialty deep learning provide the most substantial ways in which diagnosis and management of ocular diseases can be further developed within the advancing field of precision medicine. Future challenges include optimal training sets for algorithms and further developing pharmacogenetics in more specialized areas.
The future of ophthalmology is precision medicine. With a growing incidence of lifestyle-associated ophthalmic disease such as diabetic retinopathy, the use of technology has the potential to overcome the burden on clinical specialists. Advances in precision medicine will help improve diagnosis and better triage those with higher clinical need to the appropriate experts, as well as providing a more tailored approach to treatment that could help transform patient management.
Areas covered
A detailed literature review was conducted using OVID Medline and PubMed databases to explore advances in precision medicine within the areas of retinal disease, glaucoma, cornea, cataracts and uveitis. Over the last three years [2019 – 2022] are explored, particularly discussing technological and genomic advances in screening, diagnosis, and management within these fields.
Expert opinion
Artificial intelligence and its subspecialty deep learning provide the most substantial ways in which diagnosis and management of ocular diseases can be further developed within the advancing field of precision medicine. Future challenges include optimal training sets for algorithms and further developing pharmacogenetics in more specialized areas.
Date Issued
2022-12
Date Acceptance
2022-11-21
Citation
Expert Review of Precision Medicine and Drug Development, 2022, 7 (1), pp.150-161
ISSN
2380-8993
Publisher
Taylor and Francis Group
Start Page
150
End Page
161
Journal / Book Title
Expert Review of Precision Medicine and Drug Development
Volume
7
Issue
1
Copyright Statement
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000902451700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
ANGLE-CLOSURE
artificial intelligence
ARTIFICIAL-INTELLIGENCE
CONVOLUTIONAL NEURAL-NETWORKS
DIABETIC-RETINOPATHY
glaucoma
GLAUCOMA
Life Sciences & Biomedicine
MACULAR DEGENERATION
OPTICAL COHERENCE TOMOGRAPHY
Pharmacology & Pharmacy
Precision medicine
PREVALENCE
PROGRESSION
QUANTIFICATION
Science & Technology
Publication Status
Published
Date Publish Online
2022-12-02