Advancing predictive, preventive, and personalized medicine in eyelid diseases: a concerns-based and expandable screening system through structural dissection

作者：Jing Cao, Kun You, Peifang Xu, Yiming Sun, Ji Shao, Yifan Zhou, Huimin Li, Lixia Lou, Qi Miao, Juan Ye · 发表于：The EPMA Journal · 年份：2025 · DOI：10.1007/s13167-025-00401-y · 被引用次数：3 · 研究领域：Facial Rejuvenation and Surgery Techniques、Facial Nerve Paralysis Treatment and Research、Sinusitis and nasal conditions

Background/aims: Early recognition of eyelid morphological abnormalities was crucial, as untreated conditions could lead to blinding complications. An eyelid screening system that could provide both anatomical and pathological information was essential for formulating personalized treatment strategies. This study aimed to develop a clinically concerns-based framework capable of identifying common eyelid diseases requiring further intervention by evaluating individual anatomical and pathological changes. This approach would enhance individualized and efficient prevention, while supporting targeted treatment strategies. Methods: The eyelid disorder screening system, Eyetome, was developed based on a morphological atlas and comprised four modules designed to identify 14 common eyelid disorders and pathological changes. A total of 6180 eye patches were analyzed to extract anatomical and pathological features. The performance of Eyetome was evaluated using average accuracy (aACC) and F1 score, with comparisons made against traditional models and ophthalmologists. To assess the system's expandability, an additional test was conducted in a multimorbidity scenario. Results: Eyetome demonstrated high performance in recognizing single diseases, achieving an aACC of 98.83% and an F1 score of 0.93. The system outperformed classic models, with an aACC of 98.83% compared to 96.72% for Desnet101 and 97.59% for Vit. Additionally, Eyetome's aACC exceeded that of a junior ophthalmologist (JO) ...