Acceptability of artificial intelligence-based retina screening in general population
Indian J Ophthalmol
;
2022 Apr; 70(4): 1140-1144
Article
| IMSEAR
| ID: sea-224242
ABSTRACT
Purpose:
A deep learning system (DLS) using artificial intelligence (AI) is emerging as a very promising technology in the future of healthcare diagnostics. While the concept of telehealth is emerging in every field of medicine, AI assistance in diagnosis can become a great tool for successful screening in telemedicine and teleophthalmology. The aim of our study was to assess the acceptability of AI?based retina screening.Methods:
This was a prospective non?randomized study performed in the outpatient department of a tertiary eye care hospital. Patients older than 18 years who came for a regular eye check?up or a routine retina screening were recruited in the study. Fundus images of the posterior pole were captured on fundus on a phone camera (REMIDIOTM, India) with a built?in AI software (Netra.AI) that can identify normal versus abnormal retina. The patients were then given an 8?point questionnaire to assess their acceptance and willingness toward AI?based screening. We recruited 104 participants.Results:
We found that 90.4% were willing for an AI?based fundus screening; 96.2% were satisfied with AI?based screening. Patients with diabetes (P = 0.03) and the male population (P = 0.029) were more satisfied with the AI?based screening. The majority (i.e., 97.1%) felt that AI?based screening gave them a better understanding of their eye condition and 37.5% felt that AI?based retina screening prior to a doctor抯 visit can help in routine screening.Conclusion:
Considering the current COVID?19 pandemic situation across the globe, this study highlights the importance of AI?based telescreening and positive patient approach toward this technology.
Texte intégral:
Disponible
Indice:
IMSEAR (Asie du Sud-Est)
Texte intégral:
Indian J Ophthalmol
Année:
2022
Type:
Article
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