JMA Journal

Figure 1. AI application for the differential diagnosis of 11 retinal diseases. This system was generated based on the big data stored in the Japan Ocular Imaging Registry ⁽⁶⁾.

Figure 2. AI application to assist in the differentiation of nine anterior segment conditions. The condition with the highest likelihood is highlighted ⁽⁸⁾. In cases of infectious keratitis, the most likely pathogen is highlighted ⁽¹⁰⁾.

Figure 3. AI application for the differential diagnosis of anterior segment diseases can be applied to photos taken with smartphones ⁽⁸⁾.

Figure 4. An image of the triage system for anterior segment diseases obtained using smartphone images.

Figure 5. Intraocular lens packages. A mobile device camera is used to capture the image to recognize the parameters shown on the packages of planned, reserved, and backup lenses. The AI system verifies the accuracy of these parameters before surgery ⁽³⁸⁾.

Figure 6. Retinal images were artificially generated using a stable diffusion model. (a) Age-related macular degeneration, (b) retinal detachment, (c) retinal vein occlusion, (d) diabetic retinopathy, (e) glaucoma, and (f) normal fundus.