The AI-Presbyopia Classification System is a novel artificial intelligence (AI)-based classification of presbyopic eyes for surgical decision-making, developed by Zhu and Zhou, based on lens functional and structural features.
The AI-Presbyopia Classification System requires compulsory information input of DLI by iTrace, average lens density by Pentacam (LD-P), Zone 1, Zone 2 and Zone 3 by Pentacam; and optional information input of average lens density by SS-OCT (LDS). We recommend DLI measurement using the i-Trace Visual Function Analyzer within a 6-mm diameter zone. Lens density measurement with 3D scan modes by Pentacam HR is also recommended. Average lens density values and zone values (Zone 1: 2.0 mm, Zone 2: 4.0 mm, and Zone 3: 6.0 mm) were calculated using the built-in software . Lens density of SS-OCT cross-sectional images was quantitatively analyzed using ImageJ software (as shown in the following picture). Full pupillary dilation is necessary during the examination.
The training dataset has updated to 1 Apr 2024, we will continue to include new data to improve the performance of the AI-based classification system. If you have any questions or suggestions or want further information about the AI-Presbyopia classification, please contact us at zhu_zhou_lf@163.com.