Artificial intelligence at the national eye institute.
Journal
Current opinion in ophthalmology
ISSN: 1531-7021
Titre abrégé: Curr Opin Ophthalmol
Pays: United States
ID NLM: 9011108
Informations de publication
Date de publication:
01 Nov 2022
01 Nov 2022
Historique:
entrez:
7
10
2022
pubmed:
8
10
2022
medline:
12
10
2022
Statut:
ppublish
Résumé
This review highlights the artificial intelligence, machine learning, and deep learning initiatives supported by the National Institutes of Health (NIH) and the National Eye Institute (NEI) and calls attention to activities and goals defined in the NEI Strategic Plan as well as opportunities for future activities and breakthroughs in ophthalmology. Ophthalmology is at the forefront of artificial intelligence-based innovations in biomedical research that may lead to improvement in early detection and surveillance of ocular disease, prediction of progression, and improved quality of life. Technological advances have ushered in an era where unprecedented amounts of information can be linked that enable scientific discovery. However, there remains an unmet need to collect, harmonize, and share data in a machine actionable manner. Similarly, there is a need to ensure that efforts promote health and research equity by expanding diversity in the data and workforce. The NIH/NEI has supported the development artificial intelligence-based innovations to advance biomedical research. The NIH/NEI has defined activities to achieve these goals in the NIH Strategic Plan for Data Science and the NEI Strategic Plan and have spearheaded initiatives to facilitate research in these areas.
Identifiants
pubmed: 36206110
doi: 10.1097/ICU.0000000000000889
pii: 00055735-202211000-00017
pmc: PMC9555870
mid: NIHMS1817529
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
579-584Subventions
Organisme : Intramural NIH HHS
ID : Z99 EY999999
Pays : United States
Informations de copyright
Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.
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