Evaluation of pediatric ophthalmologists' perspectives of artificial intelligence in ophthalmology.

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Tytuł:: Evaluation of pediatric ophthalmologists' perspectives of artificial intelligence in ophthalmology.
Autorzy:: Valikodath NG; Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois.
Al-Khaled T; Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois.
Cole E; Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois.
Ting DSW; Singapore National Eye Center, Duke-NUS Medical School Singapore, Singapore.
Tu EY; Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois.
Campbell JP; Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, Oregon.
Chiang MF; National Eye Institute, National Institutes of Health, Bethesda, Maryland.
Hallak JA; Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois.
Chan RVP; Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois. Electronic address: .
Źródło:: Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus [J AAPOS] 2021 Jun; Vol. 25 (3), pp. 164.e1-164.e5. Date of Electronic Publication: 2021 Jun 01.
Typ publikacji:: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Język:: English
Imprint Name(s):: Publication: [New York] : Elsevier Inc.
Original Publication: St. Louis, MO : Mosby-Year Book, Inc., c1997-
MeSH Terms:: Internship and Residency*
Ophthalmologists*
Ophthalmology*/education
Strabismus*
Artificial Intelligence ; Child ; Humans ; Surveys and Questionnaires ; United States
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Grant Information:: P30 EY001792 United States EY NEI NIH HHS; P30 EY010572 United States EY NEI NIH HHS; R01 EY029673 United States EY NEI NIH HHS
Entry Date(s):: Date Created: 20210604 Date Completed: 20210923 Latest Revision: 20220716
Update Code:: 20240105
PubMed Central ID:: PMC8328946
DOI:: 10.1016/j.jaapos.2021.01.011
PMID:: 34087473
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Purpose: To survey pediatric ophthalmologists on their perspectives of artificial intelligence (AI) in ophthalmology.
Methods: This is a subgroup analysis of a study previously reported. In March 2019, members of the American Association for Pediatric Ophthalmology and Strabismus (AAPOS) were recruited via the online AAPOS discussion board to voluntarily complete a Web-based survey consisting of 15 items. Survey items assessed the extent participants "agreed" or "disagreed" with statements on the perceived benefits and concerns of AI in ophthalmology. Responses were analyzed using descriptive statistics.
Results: A total of 80 pediatric ophthalmologists who are members of AAPOS completed the survey. The mean number of years since graduating residency was 21 years (range, 0-46). Overall, 91% (73/80) reported understanding the concept of AI, 70% (56/80) believed AI will improve the practice of ophthalmology, 68% (54/80) reported willingness to incorporate AI into their clinical practice, 65% (52/80) did not believe AI will replace physicians, and 71% (57/80) believed AI should be incorporated into medical school and residency curricula. However, 15% (12/80) were concerned that AI will replace physicians, 26% (21/80) believed AI will harm the patient-physician relationship, and 46% (37/80) reported concern over the diagnostic accuracy of AI.
Conclusions: Most pediatric ophthalmologists in this survey viewed the role of AI in ophthalmology positively.
(Copyright © 2021 American Association for Pediatric Ophthalmology and Strabismus. Published by Elsevier Inc. All rights reserved.)

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