Evaluation of the accuracy and readability of ChatGPT-4 and Google Gemini in providing information on retinal detachment: a multicenter expert comparative study.

Background: Large language models (LLMs) such as ChatGPT-4 and Google Gemini show potential for patient health education, but concerns about their accuracy require careful evaluation. This study evaluates the readability and accuracy of ChatGPT-4 and Google Gemini in answering questions about retinal detachment.

Methods: Comparative study analyzing responses from ChatGPT-4 and Google Gemini to 13 retinal detachment questions, categorized by difficulty levels (D1, D2, D3).

Glaucoma and frequency of ocular and general diseases in 30 patients with aniridia: a clinical study.

Purpose: To evaluate the following in patients with aniridia: age at first examination at the University Eye Hospital and age at diagnosis of glaucoma; visual acuity; frequency of family history of aniridia; and frequency of ocular and general diseases associated with aniridia.

Methods: This was a consecutive examination of 30 unrelated patients with aniridia and retrospective evaluation of ophthalmologic, pediatric, and internal findings. The relative frequency of age at glaucoma diagnosis within decades was evaluated for the 20 patients with aniridia and glaucoma.

Survey of german clinical prescribing philosophies for hyperopia.

Purpose: We surveyed a group of German ophthalmologists to evaluate their prescribing philosophies for hyperopic refractive error in symptom-free children and to compare them with the two groups of U.S. pediatric ophthalmologists and U.