Urology

AI-assisted TURP slide review: a multi-reader study of efficiency, diagnostic performance, and human-AI error patterns.

Transurethral resection of the prostate (TURP) specimens represent a low-prevalence, high-volume diagnostic task in which pathologists must identify rare malignant foci within large amounts of predominantly benign tissue. Although artificial intelligence (AI) has shown strong standalone performance in prostate pathology, its real-world impact on TURP diagnostic workflows remains insufficiently cha...

Predicting miRNA-disease associations based on adaptive neighborhood propagation and feature spatial recombination.

MicroRNAs (miRNAs) are critical regulators in biological processes such as cell proliferation, differentiation, and apoptosis, with their aberrant expression strongly linked to a range of complex diseases. Because traditional experimental methods for predicting miRNA-disease associations (MDAs) are both time-intensive and costly, computational models offer an efficient alternative. Graph neural ne...

Chaotropic Surface Chemistry for Protein Profiling with Solid-State Micropores.

Proteins derive their biological identity from an amino acid sequence, and even subtle sequence variations can mark disease states, therapeutic respon...

DynStabNet: A Deep Learning Framework for Fast Dynamical Stability Prediction of Crystal Structures.

Semiconductor materials are widely used in electronic, optoelectronic, and energy applications. While DFT-based phonon calculations provide highly acc...

Advanced prediction of cardiovascular-kidney-metabolic syndrome using eight machine learning models and 24 composite indices.

AIM: This study aimed to construct and validate a machine learning classifier for cross-sectionally stratifying existing cardiovascular-kidney-metabol...

Evaluation of Generative Artificial Intelligence Models in Producing Anatomically Accurate Illustrations: A Comparative Study of Text-to-Image Generators.

Generative artificial intelligence (GAI) is increasingly being applied in biomedical sciences and medical education, including anatomy, where text-to-...

Comparison of large language models in the management of pediatric ureteropelvic junction obstruction: a comparative analysis of 125 clinical scenarios.

PURPOSE: To evaluate and compare the clinical accuracy, reliability, comprehensiveness and readability of three prominent Large Language Models (LLMs)...

Development and validation of a LightGBM based machine learning model for predicting postoperative erectile dysfunction after robot assisted radical prostatectomy: a multicenter cohort study.

Postoperative erectile dysfunction remains a highly debilitating complication following robot assisted radical prostatectomy for localized prostate ca...

Global research trends and hotspots in robotic-assisted prostate biopsy: a bibliometric analysis from 2008 to 2026.

Robotic-assisted prostate biopsy is now a key approach for early, accurate prostate cancer detection. The swift expansion and diversification of studi...

Multi-DECT image-based intra- and peritumoral interpretable radiomics and artificial intelligence models for preoperative prediction of pathological grading of non-muscle-invasive bladder cancer.

BACKGROUND: This study aimed to evaluate the predictive model based on multi-dual-energy computed tomography (DECT) imaging parameters and model integ...

Technical advancements in robot-assisted radical prostatectomy: systematic review and bibliometric analysis.

Robot-assisted radical prostatectomy has transformed the surgical management of localized prostate cancer, yet its research landscape remains incomple...

Artificial intelligence-based model for identifying anatomical and surgical structures in the videos of laparoscopic left hemicolectomy.

BACKGROUND: Precise surgical procedures are critical to improving the survival outcomes for colon cancer patients. Currently, there is no dedicated in...

Comment on "Comprehensive analysis of 55,213 stones: understanding common morphological associations advances endoscopic stone recognition and AI integration".

Exploratory clinical-CT machine learning characterization of CK7 expression in clear cell renal cell carcinoma.

BACKGROUND: Cytokeratin 7 (CK7) expression in clear cell renal cell carcinoma (ccRCC) may reflect tumor phenotype and biological heterogeneity, but it...

Association of Histological Features of Cortical and Medullary Peritubular Capillaries With Progressive CKD.

RATIONALE & OBJECTIVE: Peritubular capillary (PTC) rarefaction occurs in chronic kidney disease (CKD), but the independent association of PTC histolog...

Deciphering the phonon scattering mechanism and lattice thermal conductivity of La2Zr2O7 pyrochlores through point defect engineering: insights from molecular dynamics simulations with machine learning potentials.

The moment tensor potentials (MTPs) are trained, tested and validated for various single- and mixed-type point defects in La2Zr2O7 pyrochlores using t...

Mechanistic study on comorbidities of kidney stones and sepsis using transcriptome sequencing combined with single-cell spatial transcriptome sequencing.

Kidney stones and sepsis have a complex pathological association. Urinary obstruction and infection caused by kidney stones can easily induce sepsis, ...

Machine learning models of depressive symptoms in middle-aged and elderly patients with chronic kidney disease: A cross-sectional study based on CHARLS.

This study aimed to develop and compare the performance of machine learning models in identifying depressive symptom status among middle-aged and elde...

Evaluating the quality, understandability, actionability, and readability of ChatGPT-generated patient information on overactive bladder: A cross-sectional study.

This cross-sectional study aimed to evaluate the quality, understandability, actionability, and readability of patient-oriented information generated ...

Precision Medicine for Anticoagulation Strategies in the Cath Lab: Part 2.

PURPOSE OF REVIEW: Intraprocedural anticoagulation during percutaneous coronary intervention (PCI) remains particularly challenging in high-risk and u...