Publications by authors named "T Gurbuz"

Article Synopsis
  • The study aimed to evaluate the consistency and accuracy of ChatGPTv4's responses to clinical guidelines for Diminished Ovarian Reserve (DOR) over a two-month period using a structured questionnaire.
  • A variety of question types were used (open-ended, multiple-choice, true/false) and responses were rated for accuracy and completeness.
  • Results showed ChatGPTv4 performed exceptionally well, achieving near-perfect accuracy, particularly in true/false questions, with significant improvements in response quality over the evaluation period.
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Background: Male infertility is defined as the inability of a male to achieve a pregnancy in a fertile female by the American Urological Association (AUA) and the American Society for Reproductive Medicine (ASRM). Artificial intelligence, particularly in language processing models like ChatGPT4.0, offers new possibilities for supporting clinical decision-making.

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This study assesses the efficacy of ChatGPT-4, an advanced artificial intelligence (AI) language model, in delivering precise and comprehensive answers to inquiries regarding managing polycystic ovary syndrome (PCOS)-related infertility. The research team, comprising experienced gynecologists, formulated 460 structured queries encompassing a wide range of common and intricate PCOS scenarios. The queries were: true/false (170), open-ended (165), and multiple-choice (125) and further classified as 'easy', 'moderate', and 'hard'.

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More than a year after COVID-19 was declared a pandemic by the World Health Organization, the U.S.A.

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Background: Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome has an incidence of 1 in 4000. The absence of the vagina and uterus results in sexual dysfunction and infertility. The first-line treatment is vaginal dilatation.

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