Urology

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

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Harnessing machine learning and multi-omics to explore tumor evolutionary characteristics and the role of AMOTL1 in prostate cancer.

Although recent advancements have shed light on the crucial role of coordinated evolution among cell...

Radiomics based Machine Learning Models for Classification of Prostate Cancer Grade Groups from Multi Parametric MRI Images.

PURPOSE: This study aimed to investigate the performance of multiparametric magnetic resonance imagi...

AI-Based Evaluation of Prostate MR Imaging at a Modern Low-field 0.55 T Scanner Compared to 3 T in a Screening Cohort.

PURPOSE: To evaluate the effect of lower field strength on quantitative apparent-diffusion-coefficie...

CNN-Based Kidney Segmentation Using a Modified CLAHE Algorithm.

This paper presents an enhanced approach to kidney segmentation using a modified CLAHE preprocessing...

How to incorporate generative artificial intelligence in nephrology fellowship education.

Traditional nephrology education faces challenges due to expanding medical knowledge, case complexit...

Assessing the Efficacy and Clinical Utility of Artificial Intelligence Scribes in Urology.

OBJECTIVE: To assess the quality of artificial intelligence (AI) scribes and to evaluate their impac...

anti-cancer activity of siddha metallo-mineral formulation from Thanga uram with Hela cell lines.

The second most common malignant tumour in women worldwide, cervical cancer seriously jeopardizes th...

Evaluation and comparison of synthetic computed tomography algorithms with 3T MRI for prostate radiotherapy: AI-based versus bulk density method.

PURPOSE: Synthetic computed tomography (sCT)-algorithms, which generate computed tomography images f...

Rapid in vivo EPID image prediction using a combination of analytically calculated attenuation and AI predicted scatter.

BACKGROUND: The electronic portal imaging device (EPID) can be used in vivo, to detect on-treatment ...

UrologiQ: AI-based accurate detection, measurement and reporting of stones in CT-KUB scans.

Kidney stone disease is becoming increasingly common worldwide, with its prevalence increasing annua...

Applying natural language processing to understand symptoms among older adult home healthcare patients with urinary incontinence.

INTRODUCTION: Little is known about the range and frequency of symptoms among older adult home healt...

Deep-Learning Model for Quality Assessment of Urinary Bladder Ultrasound Images Using Multiscale and Higher-Order Processing.

Autonomous ultrasound image quality assessment (US-IQA) is a promising tool to aid the interpretatio...

AI-assisted patient education: Challenges and solutions in pediatric kidney transplantation.

We are writing in response to the recent publication on the use of artificial intelligence, particul...

American College of Surgeons survival calculator for biliary tract cancers: using machine learning to individualize predictions.

BACKGROUND: Although cancer prognosis is most commonly estimated by tumor stage, survival is multifa...

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