Improved outcome prediction in acute pancreatitis with generated data and advanced machine learning algorithms.

Objectives: Traditional scoring systems have been widely used to predict acute pancreatitis (AP) severity but have limitations in predictive accuracy. This study investigates the use of machine learning (ML) algorithms to improve predictive accuracy in AP.

Methods: A retrospective study was conducted using data from 101 AP patients in a tertiary hospital in Türkiye.

Analysis of the relationship between medical achievement self-efficacy perception and impostor phenomenon in the postgraduate education process: a cross-sectional study.

Background: This study aimed to assess the correlation between the impostor phenomenon and the level of academic self-efficacy. The secondary aim was to determine the sociodemographic variables affecting these two conditions. Based on the acquired findings, it is possible to take supportive and preventive measures.

Navigating the gray zone: Machine learning can differentiate malignancy in PI-RADS 3 lesions.

Introduction: The objective of this study is to predict the probability of prostate cancer in PI-RADS 3 lesions using machine learning methods that incorporate clinical and mpMRI parameters.

Methods: The study included patients who had PI-RADS 3 lesions detected on mpMRI and underwent fusion biopsy between January 2020 and January 2024. Radiological parameters (Apparent diffusion coefficient (ADC), tumour ADC/contralateral ADC ratio, Ktrans value, periprostatic adipose tissue thickness, lesion size, prostate volume) and clinical parameters (age, body mass index, total prostate specific antigen, free PSA, PSA density, systemic inflammatory index, neutrophil-lymphocyte ratio [NLR], platelet lymphocyte ratio, lymphocyte monocyte ratio) were documented.

Comparative analysis of artificial intelligence chatbot recommendations for urolithiasis management: A study of EAU guideline compliance.

Objectives: Artificial intelligence (AI) applications are increasingly being utilized by both patients and physicians for accessing medical information. This study focused on the urolithiasis section (pertaining to kidney and ureteral stones) of the European Association of Urology (EAU) guideline, a key reference for urologists.

Material And Methods: We directed inquiries to four distinct AI chatbots to assess their responses in relation to guideline adherence.

Machine learning algorithm predicts urethral stricture following transurethral prostate resection.

Purpose: To predict the post transurethral prostate resection(TURP) urethral stricture probability by applying different machine learning algorithms using the data obtained from preoperative blood parameters.

Methods: A retrospective analysis of data from patients who underwent bipolar-TURP encompassing patient characteristics, preoperative routine blood test outcomes, and post-surgery uroflowmetry were used to develop and educate machine learning models. Various metrics, such as F1 score, model accuracy, negative predictive value, positive predictive value, sensitivity, specificity, Youden Index, ROC AUC value, and confidence interval for each model, were used to assess the predictive performance of machine learning models for urethral stricture development.

Recurrent urinary tract infection genetic risk: a systematic review and gene network analysis.

Introduction And Hypothesis: The development of recurrent urinary tract infections (rUTIs) is not completely understood. This review is aimed at investigating the connection between genetics and rUTIs and summarizing the results of studies that have documented variations in gene expression among individuals with rUTIs compared with healthy individuals.

Methods: A systematic search was conducted in Cochrane, Ovid, and PubMed, limiting the results to articles published between 1 January 2000, and 5 July 2022.

Impostor phenomenon and burnout syndrome among emergency physicians: a cross-sectional study.

Introduction: This study examined emergency physicians across the country in terms of Impostor Phenomenon (IP) and Burnout Syndrome (BoS). We aimed to evaluate the possible relationship between IP and BoS and determine which demographic characteristics pose a risk for IP and BoS.

Methods: This quantitative cross-sectional study consists of Clance Impostor Phenomenon Scale (CIPS) and Maslach Burnout Inventory (MBI) which were filled out online by the participants.

The effect of serum calcium level on the success of diltiazem treatment: A retrospective cohort study.

Introduction: Diltiazem is an antiarrhythmic drug widely used in the treatment of atrial fibrillation (AFib) with rapid ventricular response (RVR). It reveals its effect by blocking L-type calcium channels. Thus, it inhibits the extracellular calcium influx into the cytosol.

Prognostic role of the endothelial cell-specific molecule-1 histopathologic expression in renal cell cancer.

Introduction: To measure the level of endothelial cell-specific molecule-1 (ESM-1) expression among the Renal Cell Cancer (RCC) variants using by immunohistochemical method and determine the relationship between ESM-1 expression and RCC prognosis.

Materials And Methods: ESM-1 immunoreactivity scores (IR) were measured in appropriate renal tumoral tissue blocks of 153 consecutive RCC patients in this retrospective analysis of prospectively collected data. Mean ESM-1 IR scores were calculated in patients who were pathologically diagnosed with clear cell RCC (ccRCC), papillary RCC (pRCC), and chromophobe RCC (chRCC).

A comprehensive analysis of YouTube videos on gender affirmation surgery.

Introduction And Hypothesis: The objective was to comprehensively analyze YouTube™ videos focusing on genital gender-affirmation surgery (GAS) from the perspective of urologists and gynecologists and to utilize results to create educational videos for transgender individuals with accurate and engaging content.

Methods: A YouTube search was performed using the keywords "Metoidioplasty," "Phalloplasty," "Gender affirmation surgery," "Transgender surgery," "Vaginoplasty," and "Male-to-female surgery." Video results that were duplicated, non-English, of low relevance, non-audio, and/or short duration (under 2 min) were excluded.

Which is the most appropriate anterior glenohumeral dislocation reduction technique among three different techniques? A prospective, randomized clinical trial.

Objectives: This study aims to compare three glenohumeral dislocation (GHD) reduction techniques in terms of pain and reduction time and to offer clinicians an idea of the selection of the most appropriate technique.

Patients And Methods: This multi-center, prospective, randomized clinical study included a total of 90 patients (55 males, 35 females; median age: 29 years; range, 22 to 41 years) who had isolated anterior GHD without complication between December 2019 and December 2021. The patients were divided into three equal groups (traction-countertraction [TCT], external rotation [ExR], and Cunningham) using the block randomization method, and reductions were performed.