Publications by authors named "Ridvan Ozcan"

Background: The hemoglobin, albumin, lymphocyte and platelet (HALP) score integrates readily available blood markers that reflect systemic inflammation, nutritional status, and immune response, all of which can influence cancer progression. This study investigated the association between the HALP score and clinicopathological characteristics in patients with testicular tumor.

Methods: Data of patients who underwent radical orchiectomy for testicular tumors between January 2020 and January 2024 were reviewed.

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To evaluate and compare the quality and comprehensibility of answers produced by five distinct artificial intelligence (AI) chatbots-GPT-4, Claude, Mistral, Google PaLM, and Grok-in response to the most frequently searched questions about kidney stones (KS). Google Trends facilitated the identification of pertinent terms related to KS. Each AI chatbot was provided with a unique sequence of 25 commonly searched phrases as input.

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Introduction: The aim of the study was to evaluate the efficacy and safety of retrograde intrarenal surgery (RIRS) in elderly patients by comparing them with propensity score-matched age-groups.

Methods: Patients who underwent RIRS to treat upper urinary tract stone disease at seven centers were included in the study and were divided into four groups. The age intervals of the patients in group 1, group 2, group 3, and group 4 were 18-29 years old, 30-49 years old, 50-64 years old, and over 65 years old, respectively.

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Background: Premature ejaculation (PE) is the most prevalent sexual dysfunction in men, and like many diseases and conditions, patients use Internet sources like ChatGPT, which is a popular artificial intelligence-based language model, for queries about this andrological disorder.

Aim: The objective of this research was to evaluate the quality, readability, and understanding of texts produced by ChatGPT in response to frequently requested inquiries on PE.

Methods: In this study we used Google Trends to identify the most frequently searched phrases related to PE.

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The aim of the study is to evaluate and compare the quality and readability of responses generated by five different artificial intelligence (AI) chatbots-ChatGPT, Bard, Bing, Ernie, and Copilot-to the top searched queries of erectile dysfunction (ED). Google Trends was used to identify ED-related relevant phrases. Each AI chatbot received a specific sequence of 25 frequently searched terms as input.

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Introduction: COVID-19 is a disease that may cause anxiety, depression, and stress. Bladder pain syndrome (BPS) is a disease in which stress and psychological factors might negatively affect its course. In this study, we aimed to examine the possible clinical aggregation of the pandemic period on BPS patients.

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The study's aim was to document the rates of declared and hidden erectile dysfunction (ED) at urology outpatient clinic while attempting to develop a method to encourage patients to talk about ED. A total of 506 patients, all of whom underwent the same procedure by the same clinician with a standard algorithm, were prospectively evaluated. The patients who declared ED as their primary or secondary symptom were grouped as 'very early treatment seekers' (VETS) and 'early treatment seekers' (ETS) respectively.

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