Acceptability of artificial intelligence-based retina screening in general population

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.