Urology

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

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Histopathology-driven prostate cancer identification: A VBIR approach with CLAHE and GLCM insights.

Efficient extraction and analysis of histopathological images are crucial for accurate medical diagn...

Multi-instance learning for identifying high-risk subregions associated with synchronous distant metastasis in clear cell renal cell carcinoma.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is one of the most common histological subtypes ...

Machine learning model outperforms the ACS Risk Calculator in predicting non-home discharge following primary total knee arthroplasty.

PURPOSE: Despite the increase in outpatient total knee arthroplasty (TKA) procedures, many patients ...

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-RAD...

Machine-learning based prediction model for acute kidney injury induced by multiple wasp stings.

Acute kidney injury (AKI) following multiple wasp stings is a severe complication with potentially p...

Explainable machine learning model for predicting paratracheal lymph node metastasis in cN0 papillary thyroid cancer.

Prophylactic dissection of paratracheal lymph nodes in clinically lymph node-negative (cN0) papillar...

Identification of common biomarkers in diabetic kidney disease and cognitive dysfunction using machine learning algorithms.

Cognitive dysfunction caused by diabetes has become a serious global medical issue. Diabetic kidney ...

Deep learning-based segmentation for high-dose-rate brachytherapy in cervical cancer using 3D Prompt-ResUNet.

To develop and evaluate a 3D Prompt-ResUNet module that utilized the prompt-based model combined wit...

Accuracy assessment of artificial intelligence IOL calculation formulae: utilizing the heteroscedastic statistics and the Eyetemis Analysis Tool.

OBJECTIVES: To analyse the accuracy of artificial intelligence (AI)-driven intraocular (IOL) calcula...

Efficient bladder cancer diagnosis using an improved RIME algorithm with Orthogonal Learning.

Bladder cancer (BC) diagnosis presents a critical challenge in biomedical research, necessitating ac...

A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma Based on CT Images.

This study developed and validated a deep learning-based diagnostic model with uncertainty estimatio...

Machine Learning-Enabled Fuhrman Grade in Clear-cell Renal Carcinoma Prediction Using Two-dimensional Ultrasound Images.

OBJECTIVE: Accurate assessment of Fuhrman grade is crucial for optimal clinical management and perso...

A flexible 2.5D medical image segmentation approach with in-slice and cross-slice attention.

Deep learning has become the de facto method for medical image segmentation, with 3D segmentation mo...

AI for BPH Surgical Decision-Making: Cost Effectiveness and Outcomes.

PURPOSE OF REVIEW: Benign prostatic hyperplasia (BPH) is prevalent in nearly 70% of men over the age...

Online Adaptive Proton Therapy Facilitated by Artificial Intelligence-Based Autosegmentation in Pencil Beam Scanning Proton Therapy.

PURPOSE: Online adaptive proton therapy (oAPT) is essential to address interfractional anatomical ch...

The Film Room: Using Artificial Intelligence to Facilitate Video Review for Urology Trainees.

Video-based educational programs offer a promising avenue to augment surgical preparation, allow for...

An integrated machine learning model enhances delayed graft function prediction in pediatric renal transplantation from deceased donors.

BACKGROUND: Kidney transplantation is the optimal renal replacement therapy for children with end-st...

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