Publications by authors named "M Citirik"

To assess and compare the results of pars plana vitrectomy (PPV) with short-term perfluorocarbon liquid (PFCL) tamponade and combined PPV with scleral buckling to treat rhegmatogenous retinal detachment (RRD) with inferior retinal breaks complicated by proliferative vitreoretinopathy (PVR). The medical records of patients who had vitreoretinal surgery for RRD with inferior retinal breaks complicated by PVR were reviewed. Group 1 had PPV with PFCL, and Group 2 had PPV with scleral buckling.

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Background: This study aims to evaluate the knowledge levels of chat generative pretrained transformer (ChatGPT), Bing, and Bard programs, which are three different artificial intelligence chatbots offered to the market free of charge by various manufacturers, regarding neuro-ophthalmological diseases, to examine their usability, and to investigate the existence of their superiority to each other.

Materials And Methods: Forty questions related to neuro-ophthalmological diseases were obtained from the study questions' section of the American Academy and Ophthalmology 2022-2023 Basic and Clinical Science Course Neuro-ophthalmology Book. The questions were posed to the ChatGPT, Bing, and Bard artificial intelligence chatbots.

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Purpose: To evaluate the answers to multiple-choice questions about retina and vitreous diseases and treatment modalities of Chat Generative Pre-Trained Transformer (ChatGPT), Bard, and Bing artificial intelligence chatbots, examining the level of knowledge about these subjects, and investigating the existence of their superiority over each other.

Methods: Forty-six questions related to retinal and vitreous diseases and treatment modalities were asked to ChatGPT, Bing, and Bard chatbots.

Results: The Bing artificial intelligence chatbot correctly answered 76.

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Purpose: We aimed to evaluate the success of Chat Generative Pre-trained Transformer (ChatGPT), Bing, and Bard artificial intelligence programs, which were released free of charge by three different manufacturers, in correctly answering questions about lenses, cataract, and refractive surgery, and to investigate whether they are superior to each other.

Methods: Seventy questions related to lens, cataract, and refractive surgery were obtained from the study questions section of the American Academy of Ophthalmology 2022 to 2023 Basic and Clinical Science Course Lens and Cataract and Refractive Surgery Books. The questions were asked separately for the ChatGPT, Bing, and Bard artificial intelligence programs.

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Purpose: The purpose of the study was to evaluate the knowledge level of the Chat Generative Pretrained Transformer (ChatGPT), Bard, and Bing artificial intelligence (AI) chatbots regarding ocular inflammation, uveal diseases, and treatment modalities, and to investigate their relative performance compared to one another.

Materials And Methods: Thirty-six questions related to ocular inflammation, uveal diseases, and treatment modalities were posed to the ChatGPT, Bard, and Bing AI chatbots, and both correct and incorrect responses were recorded. The accuracy rates were compared using the Chi-squared test.

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