Clinical performance of an interactive platform based on artificial intelligence in ophthalmology: Experience in a third-level reference center

Félix Armadá^1*Maria Capote-Díez¹María del Pino Cidad-Betegón¹Rosa María Cordero-Ros¹Lilian Martínez-Godoy¹Paola Vázquez-Colomo¹Beatriz Laín-Olías²Bruno Songel-Sanchis²Alfonso Caminos-Melguizo²Inas Baoud Ould Haddi²

• ¹University Hospital La Paz, La Paz, Spain
• ²Zink Medical, Health Market Consulting, Ltd., Valencia, Spain

Objective: To assess the diagnostic performance of an interactive platform for ophthalmology in a real-world clinical setting at a tertiary care center. Methods: A prospective, observational, cross-sectional study was conducted on consecutive patients referred by general practitioners to the Ophthalmology Department of a third-level University Hospital. Participants underwent automated ocular evaluation using DORIA (Robotic Ophthalmological Diagnosis through Artificial Intelligence) including the Eyelib™ Robotized scan (MIKAJAKI, Geneva, Switzerland). Results: Of 2,774 referred patients, 2,478 (89.3%) attended their appointments and were examined. Among them, the mean age was 58.5±14.5 years and 1535 (61.9%) were women. Visual acuity loss with 591 (24.2%) patients and fundus examination 421 (17.3%) patients were the most common referral reasons. Based on DORIA results, ophthalmologists concluded that 807 patients (32.6%) required no further ophthalmological care, 858 (34.6%) needed follow-up with a general ophthalmologist, and 341 (13.8%) were referred to primary care. In a detailed assessment of 2478 cases, 1148 (46.3%) were discharged or referred to primary care, while 472 (35.5%) individuals required specialized ophthalmology care. Conclusions: The platform might be considered as a valuable solution to the waiting list issue, reducing specialist interventions, and optimizing healthcare resources. Real-world findings suggest potential cost savings and improved patient management. Further studies are necessary to validate its comparative effectivenessAs a primary goal, the abstract should render the general significance and conceptual advance of the work clearly accessible to a broad readership. References should not be cited in the abstract. Leave the Abstract empty if your article does not require one – please see the “Article types” on every Frontiers journal page for full details.