Assistive applications of artificial intelligence in ophthalmology
Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved..
PURPOSE OF REVIEW: Assistive (nonautonomous) artificial intelligence (AI) models designed to support (rather than function independently of) clinicians have received increasing attention in medicine. This review aims to highlight several recent developments in these models over the past year and their ophthalmic implications.
RECENT FINDINGS: Artificial intelligence models with a diverse range of applications in ophthalmology have been reported in the literature over the past year. Many of these systems have reported high performance in detection, classification, prognostication, and/or monitoring of retinal, glaucomatous, anterior segment, and other ocular pathologies.
SUMMARY: Over the past year, developments in AI have been made that have implications affecting ophthalmic surgical training and refractive outcomes after cataract surgery, therapeutic monitoring of disease, disease classification, and prognostication. Many of these recently developed models have obtained encouraging results and have the potential to serve as powerful clinical decision-making tools pending further external validation and evaluation of their generalizability.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:34 |
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| Enthalten in: |
Current opinion in ophthalmology - 34(2023), 3 vom: 01. Mai, Seite 261-266 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Hubbard, Donald C [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 03.04.2023 Date Revised 12.09.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1097/ICU.0000000000000939 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 500 | |a Date Revised 12.09.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved. | ||
| 520 | |a PURPOSE OF REVIEW: Assistive (nonautonomous) artificial intelligence (AI) models designed to support (rather than function independently of) clinicians have received increasing attention in medicine. This review aims to highlight several recent developments in these models over the past year and their ophthalmic implications | ||
| 520 | |a RECENT FINDINGS: Artificial intelligence models with a diverse range of applications in ophthalmology have been reported in the literature over the past year. Many of these systems have reported high performance in detection, classification, prognostication, and/or monitoring of retinal, glaucomatous, anterior segment, and other ocular pathologies | ||
| 520 | |a SUMMARY: Over the past year, developments in AI have been made that have implications affecting ophthalmic surgical training and refractive outcomes after cataract surgery, therapeutic monitoring of disease, disease classification, and prognostication. Many of these recently developed models have obtained encouraging results and have the potential to serve as powerful clinical decision-making tools pending further external validation and evaluation of their generalizability | ||
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