Patients perceptions of Artificial Intelligence in diabetic eye screening

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dc.citation.issue3
dc.citation.volume11
dc.contributor.authorYap A
dc.contributor.authorWilkinson B
dc.contributor.authorChen E
dc.contributor.authorHan L
dc.contributor.authorVeghefi E
dc.contributor.authorGalloway C
dc.contributor.authorSquirrell D
dc.date.accessioned2024-03-11T19:50:14Z
dc.date.accessioned2024-07-25T06:33:39Z
dc.date.available2022-05-01
dc.date.available2024-03-11T19:50:14Z
dc.date.available2024-07-25T06:33:39Z
dc.date.issued2022-05-01
dc.description.abstractPurpose: Artificial intelligence (AI) technology is poised to revolutionize modern delivery of health care services. We set to evaluate the patient perspective of AI use in diabetic retinal screening. Design: Survey. Methods: Four hundred thirty-eight patients undergoing diabetic retinal screening across New Zealand participated in a survey about their opinion of AI technology in retinal screening. The survey consisted of 13 questions covering topics of awareness, trust, and receptivity toward AI systems. Results: The mean age was 59 years. The majority of participants identified as New Zealand European (50%), followed by Asian (31%), Pacific Islander (10%), and Maori (5%). Whilst 73% of participants were aware of AI, only 58% have heard of it being implemented in health care. Overall, 78% of respondents were comfortable with AI use in their care, with 53% saying they would trust an AI-assisted screening program as much as a health professional. Despite having a higher awareness of AI, younger participants had lower trust in AI systems. A higher proportion of Maori and Pacific participants indicated a preference toward human-led screening. The main perceived benefits of AI included faster diagnostic speeds and greater accuracy. Conclusions: There is low awareness of clinical AI applications among our participants. Despite this, most are receptive toward the implementation of AI in diabetic eye screening. Overall, there was a strong preference toward continual involvement of clinicians in the screening process. There are key recommendations to enhance the receptivity of the public toward incorporation of AI into retinal screening programs.
dc.description.confidentialfalse
dc.edition.editionMay-June 2022
dc.format.pagination287-293
dc.identifier.citationYap A, Wilkinson B, Chen E, Han L, Veghefi E, Galloway C, Squirrell D. (2022). Patients perceptions of Artificial Intelligence in diabetic eye screening. Asia - Pacific Journal of Ophthalmology. 11. 3. (pp. 287-293).
dc.identifier.doi10.1097/APO.0000000000000525
dc.identifier.elements-typejournal-article
dc.identifier.issn2162-0989
dc.identifier.piiS2162098923007120
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/70417
dc.languageEnglish
dc.publisherWolters Kluwer Health, Inc. on behalf of the Asia-Pacific Academy of Ophthalmology
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S2162098923007120
dc.relation.isPartOfAsia - Pacific Journal of Ophthalmology
dc.rights(c) The author/sen
dc.rights.licenseCC BY-NC-NDen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectartificial intelligence
dc.subjectdiabetic retinopathy
dc.subjectdiagnostic screening programs
dc.subjectpatient acceptance of health care
dc.titlePatients perceptions of Artificial Intelligence in diabetic eye screening
dc.typeJournal article
pubs.elements-id453395
pubs.organisational-groupOther
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