AIMC Topic: Urinary Tract Infections
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Development and validation of artificial intelligence models to predict urinary tract infections and secondary bloodstream infections in adult patients.
Journal of infection and public health
Oct 24, 2023
BACKGROUND: Traditional culture methods are time-consuming, making it difficult to utilize the results in the early stage of urinary tract infection (UTI) management, and automated urinalyses alone show insufficient performance for diagnosing UTIs. S...
Magnetic Soft Robot for Minimally Invasive Urethral Catheter Biofilm Eradication.
ACS nano
Oct 23, 2023
Catheter-related biofilm infection remains the main problem for millions of people annually, affecting morbidity, mortality, and quality of life. Despite the recent advances in the prevention of biofilm formation, alternative methods for biofilm prev...
Clinically explainable machine learning models for early identification of patients at risk of hospital-acquired urinary tract infection.
The Journal of hospital infection
Mar 31, 2023
BACKGROUND: Machine learning (ML) models for early identification of patients at risk of hospital-acquired urinary tract infection (HA-UTI) may enable timely and targeted preventive and therapeutic strategies. However, clinicians are often challenged...
Rapid Bacterial Detection in Urine Using Laser Scattering and Deep Learning Analysis.
Microbiology spectrum
Mar 2, 2022
Images of laser scattering patterns generated by bacteria in urine are promising resources for deep learning. However, floating bacteria in urine produce dynamic scattering patterns and require deep learning of spatial and temporal features. We hypot...
Upper or lower tract approach for duplex anomalies? A bi-institutional comparative analysis of robot-assisted approaches.
Journal of robotic surgery
Jan 25, 2022
Optimal management of duplication anomalies may include an upper or lower tract surgical approach. In the contemporary era, the robot-assisted laparoscopic heminephrectomy (RALHN) and robot-assisted laparoscopic ipsilateral ureteroureterostomy (RALIU...
Prediction of post-stroke urinary tract infection risk in immobile patients using machine learning: an observational cohort study.
The Journal of hospital infection
Jan 16, 2022
BACKGROUND: Urinary tract infection (UTI) is one of major nosocomial infections significantly affecting the outcomes of immobile stroke patients. Previous studies have identified several risk factors, but it is still challenging to accurately estimat...
Rapid identification of the resistance of urinary tract pathogenic bacteria using deep learning-based spectroscopic analysis.
Analytical and bioanalytical chemistry
Oct 21, 2021
The resistance of urinary tract pathogenic bacteria to various antibiotics is increasing, which requires the rapid detection of infectious pathogens for accurate and timely antibiotic treatment. Here, we propose a rapid diagnosis strategy for the ant...
Prediction of risk of acquiring urinary tract infection during hospital stay based on machine-learning: A retrospective cohort study.
PloS one
Mar 31, 2021
BACKGROUND: Healthcare associated infections (HAI) are a major burden for the healthcare system and associated with prolonged hospital stay, increased morbidity, mortality and costs. Healthcare associated urinary tract infections (HA-UTI) accounts fo...
Selecting Children with Vesicoureteral Reflux Who are Most Likely to Benefit from Antibiotic Prophylaxis: Application of Machine Learning to RIVUR.
The Journal of urology
Dec 8, 2020
PURPOSE: Continuous antibiotic prophylaxis reduces the risk of recurrent urinary tract infection by 50% in children with vesicoureteral reflux. However, there may be subgroups in whom continuous antibiotic prophylaxis could be used more selectively. ...
Detailed Analysis of Urinary Tract Infections After Robot-Assisted Radical Cystectomy.
Journal of endourology
Nov 6, 2020
To describe urinary tract infections (UTIs) after robot-assisted radical cystectomy (RARC) and investigate the variables associated with it. A retrospective review of 616 patients who underwent RARC between 2005 and 2019 was performed. Patients wer...
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