Evidence map›Paper›PMID 34087473›Full record

ArticleJournal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus2021

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

Nita G Valikodath, Tala Al-Khaled, Emily Cole, Daniel S W Ting, Elmer Y Tu, J Peter Campbell, Michael F Chiang, Joelle A Hallak, R V Paul Chan

Abstract read
In one paragraph

Article in Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Review
  8. Stakeholder Attitudes on AI Integration in Ophthalmology.Klinische Monatsblatter fur Augenheilkunde · 2025
    Review
  9. Artificial Intelligence in Medical Care - Patients' Perceptions on Caregiving Relationships and Ethics: A Qualitative Study.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Nita G ValikodathDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois.
Tala Al-KhaledDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois.
Emily ColeDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois.
Daniel S W TingSingapore National Eye Center, Duke-NUS Medical School Singapore, Singapore.
Elmer Y TuDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois.
J Peter CampbellDepartment of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, Oregon.
Michael F ChiangNational Eye Institute, National Institutes of Health, Bethesda, Maryland.
Joelle A HallakDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois.
R V Paul ChanDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois. Electronic address: rvpchan@uic.edu.

Funding

Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TED S ACOTT · 1995 to 2026
$19.4M
Translational Core for Therapeutic and Diagnostic DevelopmentP30EY001792 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MCANANY, JAMES JASON · 1985 to 2025
$14.8M
Nonmydriatic ultra-widefield fundus photography employing trans-pars-planar illuminationR01EY029673 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI CHAN, ROBISON VERNON PAUL, YAO, XINCHENG · 2019 to 2022
$1.8M
NEI NIH HHS P30 EY001792NEI NIH HHS P30 EY010572NEI NIH HHS R01 EY029673
6 · The paper itself

Abstract

purposeTo survey pediatric ophthalmologists on their perspectives of artificial intelligence (AI) in ophthalmology.

methodsThis 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.

resultsA 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.

conclusionsMost pediatric ophthalmologists in this survey viewed the role of AI in ophthalmology positively.

Indexed as

Internship and ResidencyOphthalmologistsOphthalmologyStrabismusArtificial IntelligenceChildHumansSurveys and QuestionnairesUnited States

Identifiers

PMID34087473
PMCPMC8328946

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.