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

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)164.e1-164.e5
JournalJournal of AAPOS
Issue number3
StatePublished - Jun 2021

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Ophthalmology


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