Urology

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

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Enhancing bone metastasis prediction in prostate cancer using quantitative mpMRI features, ISUP grade and PSA density: a machine learning approach.

PURPOSE: Bone metastasis is a critical complication in prostate cancer, significantly impacting pati...

An artificial intelligence-based gout management system reduced chronic kidney disease incident and improved target serum urate achievement.

OBJECTIVES: Stage ≥3 chronic kidney disease (CKD) affects ∼25% of people with gout. The effects of u...

Predicting postoperative prognosis in clear cell renal cell carcinoma using a multiphase CT-based deep learning model.

BACKGROUND: Some clinicopathological risk stratification systems (CRSSs) such as the leibovich score...

Using Machine Learning to Predict Survival in Patients with Metastatic Castration-Resistant Prostate Cancer.

Non-specific clinical biomarkers have been shown to help identify prognostic risks in cancer patient...

Evaluation of the Performance of a Large Language Model to Extract Signs and Symptoms from Clinical Notes.

Large language models (LLMs) have increasingly been used to extract critical information from unstru...

Predicting Prostate Cancer Diagnosis Using Machine Learning Analysis of Healthcare Utilization Patterns.

This study investigated healthcare utilization patterns prior to prostate cancer diagnoses, aiming t...

Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0.

This document defines the key considerations for developing and reporting an artificial intelligence...

Accuracy of Large Language Model-based Automatic Calculation of Ovarian-Adnexal Reporting and Data System MRI Scores from Pelvic MRI Reports.

Background Ovarian-Adnexal Reporting and Data System (O-RADS) for MRI helps assign malignancy risk, ...

AI-Augmented Kidney Stone Composition Analysis with Auto-Release Improves Quality, Efficiency, Cost-Effectiveness, and Staff Satisfaction.

BACKGROUND: We sought to evaluate key performance indicators related to an internally developed and ...

Comparing Explanations of Molecular Machine Learning Models Generated with Different Methods for the Calculation of Shapley Values.

Feature attribution methods from explainable artificial intelligence (XAI) provide explanations of m...

ML-UrineQuant: A machine learning program for identifying and quantifying mouse urine on absorbent paper.

The void spot assay has gained popularity as a way of assessing functional bladder voiding parameter...

Do explainable AI (XAI) methods improve the acceptance of AI in clinical practice? An evaluation of XAI methods on Gleason grading.

This work aimed to evaluate both the usefulness and user acceptance of five gradient-based explainab...

MRI-based Deep Learning Algorithm for Assisting Clinically Significant Prostate Cancer Detection: A Bicenter Prospective Study.

Background Although artificial intelligence is actively being developed for prostate MRI, few studie...

ChatGPT's competence in responding to urological emergencies.

BACKGROUND: In recent years, artificial intelligence (AI) applications have been increasingly used a...

Applying Artificial Intelligence to Quantify Body Composition on Abdominal CTs and Better Predict Kidney Transplantation Wait-List Mortality.

BACKGROUND: Prekidney transplant evaluation routinely includes abdominal CT for presurgical vascular...

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