Urology

Latest AI and machine learning research in urology for healthcare professionals.

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An Artificial Intelligence Model Using Diffusion Basis Spectrum Imaging Metrics Accurately Predicts Clinically Significant Prostate Cancer.

PURPOSE: Conventional prostate magnetic resonance imaging has limited accuracy for clinically signif...

Prediction of surgical necessity in children with ureteropelvic junction obstruction using machine learning.

BACKGROUND: Hydronephrosis developing at the ureteropelvic junction due to obstruction poses clinica...

Diagnostic performance of artificial intelligence in detection of renal cell carcinoma: a systematic review and meta-analysis.

OBJECTIVES: The detection of renal cell carcinoma (RCC) tumors in the earlier stages is of great imp...

Advancing health equity: evaluating AI translations of kidney donor information for Spanish speakers.

BACKGROUND: Health equity and access to essential medical information remain significant challenges,...

A machine learning approach to real-time calculation of joint angles during walking and running using self-placed inertial measurement units.

BACKGROUND: Inter-segment joint angles can be obtained from inertial measurement units (IMUs); howev...

SEPO-FI: Deep-learning based software to calculate fusion index of muscle cells.

The fusion index is a critical metric for quantitatively assessing the transformation of in vitro mu...

Machine learning-driven Raman spectroscopy: A novel approach to lipid profiling in diabetic kidney disease.

Diabetes mellitus is a chronic metabolic disease that increasingly affects people every year. It is ...

Machine learning prediction models for mortality risk in sepsis-associated acute kidney injury: evaluating early versus late CRRT initiation.

BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) has a significant impact on patient surviv...

Artificial intelligence assisted risk prediction in organ transplantation: a UK Live-Donor Kidney Transplant Outcome Prediction tool.

Predicting the outcome of a kidney transplant involving a living donor advances donor decision-maki...

Advanced Deep Learning Models for Melanoma Diagnosis in Computer-Aided Skin Cancer Detection.

The most deadly type of skin cancer is melanoma. A visual examination does not provide an accurate d...

Satisfactory Evaluation of Call Service Using AI After Ureteral Stent Insertion: Randomized Controlled Trial.

BACKGROUND: Ureteral stents, such as double-J stents, have become indispensable in urologic procedur...

Challenges in standardizing preimplantation kidney biopsy assessments and the potential of AI-Driven solutions.

PURPOSE OF REVIEW: This review explores the variability in preimplantation kidney biopsy processing ...

Prediction of Prostate Cancer From Routine Laboratory Markers With Automated Machine Learning.

BACKGROUND: In this study, we attempted to select the optimum cases for a prostate biopsy based on r...

Assessing donor kidney function: the role of CIRBP in predicting delayed graft function post-transplant.

INTRODUCTION: Delayed graft function (DGF) shortens the survival time of transplanted kidneys and in...

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence-Assisted Cancer Diagnosis.

The potential of artificial intelligence (AI) in digital pathology is limited by technical inconsist...

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