Differentiating malignant and benign eyelid lesions using deep learning.

Artificial intelligence as a screening tool for eyelid lesions will be helpful for early diagnosis of eyelid malignancies and proper decision-making. This study aimed to evaluate the performance of a deep learning model in differentiating eyelid lesions using clinical eyelid photographs in comparison with human ophthalmologists. We included 4954 photographs from 928 patients in this retrospective cross-sectional study.

Atypical Mycobacterial Infection in Anophthalmic Sockets With Porous Orbital Implant Exposure.

Purpose: To investigate the clinical features and risk factors of atypical mycobacterial infection in anophthalmic sockets with porous orbital implant exposure.

Design: Case-control study.

Methods: The medical records of all patients who had undergone surgical correction of porous orbital implant exposure were consecutively reviewed, and the patients were stratified as those with atypical mycobacterial infection (AM infection group) and others (non-AM group).

Long-term results of fluocinolone acetonide intravitreal implant in Behçet intractable posterior uveitis.

Objective: To evaluate the long-term efficacy and safety of the fluocinolone acetonide intravitreal implant in patients with Behçet disease with intractable noninfectious posterior uveitis.

Design: Consecutive retrospective analysis.

Participants: Eight eyes from 7 patients with Behçet uveitis who did not respond successfully to conventional treatment with topical and systemic steroids and/or systemic steroid-sparing agents were studied.