Publications by authors named "S Abusoglu"

Objectives: Urinalysis is a first-line test for screening for urinary tract infection. Several devices performing strip and sediment analysis have been introduced. The aim of this study was to compare the performance of Labsan Tricell-1000 and Dirui FUS-2000 automated urine analyzers with manual microscopy.

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Tube manufacturers use different composition of gels and blood clot activator formulations in serum tube production. Our aim was to investigate the within-tube (repeatability) and between-tube variation, concordance between comparison results of BD and VacuSEL tubes. Blood samples were collected from control subjects (n = 20) and patients (n = 30) in accordance with the CLSI GP41-A6 and CLSI GP34-A guidelines.

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Introduction: Our study aimed to compare the short- and particularly long-term type 2 diabetes mellitus (T2DM) remission prediction abilities of ABCD, individualised metabolic surgery (IMS), DiaRem2, Ad-DiaRem and DiaBetter scoring systems in Turkish adult type 2 diabetic morbidly obese patients who underwent bariatric surgery.

Patients And Methods: Our study was planned as a retrospective cohort study. A total of 137 patients with T2DM, including 78 sleeve gastrectomy (SG) and 59 Roux-en-Y gastric bypass (RYGB) patients, were included in the 1 st -year evaluation after bariatric surgery, and a total of 115 patients with T2DM, including 64 SG and 51 RYGB patients, were included in the evaluation at the end of the 5 th year.

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In this study, it was aimed to assess effects of subclinical hyperthyroidism (SH) on bone metabolism using osteoprotegerin (OPG), sclerostin, Dickkopf-1 (DKK1) and biochemical parameters. This cross-sectional prospective study included 40 patients with SH and 40 euthyroid controls. Serum OPG, sclerostin, DKK-1, type-1 procollagen, C-terminal polypeptide (CTx) and 24-hours urine N-terminal telopeptide (NTx) were measures using ELISA kit.

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Article Synopsis
  • This study explores how artificial intelligence (AI) chatbots can identify common errors in clinical laboratories through a series of case scenarios and questions focused on pre-analytical, analytical, and postanalytical processes.
  • Four chatbots were assessed on their ability to accurately answer 60 questions, with the accuracy of their responses evaluated by three independent laboratory experts.
  • The findings showed that AI models like CopyAI and ChatGPT v4.0 outperformed ChatGPT-3.5, suggesting that with further training and validation, AI could play a significant role in improving data accuracy in clinical settings.
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