AIMC Topic: Urologic Diseases

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Integration of novel artificial intelligence tools in pediatric urologic practice.

Current opinion in urology Mar 10, 2025
PURPOSE OF REVIEW: There has been an explosion of creative uses of artificial intelligence (AI) in healthcare, with AI being touted as a solution for many problems facing the healthcare system. This review focuses on tools currently available to pedi...
Pediatrics Urology Urologic Diseases Machine Learning Child Humans Artificial Intelligence
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A living scoping review and online repository of artificial intelligence models in pediatric urology: Results from the AI-PEDURO collaborative.

Journal of pediatric urology Feb 5, 2025
INTRODUCTION: Artificial intelligence (AI) is increasingly being applied across pediatric urology. We provide a living scoping review and online repository developed by the AI in PEDiatric UROlogy (AI-PEDURO) collaborative that summarizes the current...
Pediatrics Urology Artificial Intelligence Urologic Diseases Humans Child
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Using artificial intelligence to generate medical literature for urology patients: a comparison of three different large language models.

World journal of urology Jul 29, 2024
PURPOSE: Large language models (LLMs) are a form of artificial intelligence (AI) that uses deep learning techniques to understand, summarize and generate content. The potential benefits of LLMs in healthcare is predicted to be immense. The objective ...
Humans Artificial Intelligence Language Urologic Diseases Patient Education as Topic Urology
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Current advances in the use of artificial intelligence in predicting and managing urological complications.

International urology and nephrology Jul 9, 2024
BACKGROUND: Artificial intelligence (AI) has emerged as a promising avenue for improving patient care and surgical outcomes in urological surgery. However, the extent of AI's impact in predicting and managing complications is not fully elucidated.
Postoperative Complications Urologic Diseases Urologic Surgical Procedures Humans Artificial Intelligence
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The Use of Uroflowmetry as a Diagnostic Test.

Current urology reports Feb 28, 2024
PURPOSE OF REVIEW: Uroflowmetry is widely used for initial non-invasive evaluation of lower urinary tract disorders. Current clinical use is mostly restricted to a scrutiny of the maximum flow rate and uroflow pattern recorded by a conventional flowm...
Humans Artificial Intelligence Diagnostic Tests, Routine Urodynamics Urologic Diseases Urinary Bladder
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Quality of information about urologic pathology in English and Spanish from ChatGPT, BARD, and Copilot.

Actas urologicas espanolas Feb 17, 2024
INTRODUCTION AND OBJECTIVE: Generative artificial intelligence makes it possible to ask about medical pathologies in dialog boxes. Our objective was to analyze the quality of information about the most common urological pathologies provided by ChatGP...
Urologic Diseases Language Humans Surveys and Questionnaires Artificial Intelligence Internet
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Low-dose CT urography using deep learning image reconstruction: a prospective study for comparison with conventional CT urography.

The British journal of radiology Feb 24, 2021
OBJECTIVES: To compare the image quality of low-dose CT urography (LD-CTU) using deep learning image reconstruction (DLIR) with conventional CTU (C-CTU) using adaptive statistical iterative reconstruction (ASIR-V).
Urography Urologic Diseases Middle Aged Deep Learning Image Interpretation, Computer-Assisted Radiation Dosage Urinary Tract Humans Aged Prospective Studies Adult Male Tomography, X-Ray Computed Female
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Current Trends in Artificial Intelligence Application for Endourology and Robotic Surgery.

The Urologic clinics of North America Nov 5, 2020
With the advent of electronic medical records and digitalization of health care over the past 2 decades, artificial intelligence (AI) has emerged as an enabling tool to manage complex datasets and deliver streamlined data-driven patient care. AI algo...
Algorithms Prognosis Male Image Processing, Computer-Assisted Endoscopy Humans Artificial Intelligence Urinary Tract Urologic Diseases Multiparametric Magnetic Resonance Imaging History, 21st Century History, 20th Century Urologic Surgical Procedures Prostatic Neoplasms Optical Imaging Robotic Surgical Procedures
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Machine learning for syndromic surveillance using veterinary necropsy reports.

PloS one Feb 5, 2020
The use of natural language data for animal population surveillance represents a valuable opportunity to gather information about potential disease outbreaks, emerging zoonotic diseases, or bioterrorism threats. In this study, we evaluate machine lea...
Machine Learning Urologic Diseases Animals Supervised Machine Learning Logistic Models Area Under Curve Deep Learning Gastrointestinal Diseases Lung Diseases ROC Curve
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An End-to-End System for Automatic Urinary Particle Recognition with Convolutional Neural Network.

Journal of medical systems Jul 27, 2018
The urine sediment analysis of particles in microscopic images can assist physicians in evaluating patients with renal and urinary tract diseases. Manual urine sediment examination is labor-intensive, subjective and time-consuming, and the traditiona...
Urologic Diseases Humans Kidney Diseases Algorithms Urinalysis Neural Networks, Computer Learning
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