AIMC Topic: Urinary Tract Infections
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Aptamer-functionalized graphene quantum dots combined with artificial intelligence detect bacteria for urinary tract infections.
Frontiers in cellular and infection microbiology
Apr 16, 2025
OBJECTIVES: Urinary tract infection is one of the most prevalent forms of bacterial infection, and prompt and efficient identification of pathogenic bacteria plays a pivotal role in the management of urinary tract infections. In this study, we propos...
Point-of-Care Sensors and Medical Internet-of-Things Technologies to Manage Catheter-Associated Urinary Tract Infections in the Intensive Care Unit.
Critical care nursing clinics of North America
Mar 24, 2025
This article examines the current technologies used with indwelling urinary catheters to monitor potential catheter-associated urinary tract infections (CAUTIs) in the intensive care unit. Advancements in medical internet-of-things, artificial intell...
Machine learning-based prediction of vesicoureteral reflux outcomes in infants under antibiotic prophylaxis.
Scientific reports
Mar 22, 2025
We aimed to investigate the independent outcome predictors of continuous antibiotic prophylaxis (CAP) in vesicoureteral reflux, train a model to predict the outcome, and evaluate which infants should be referred for endoscopic vesicoureteral reflux c...
Predicting 90-day risk of urinary tract infections following urostomy in bladder cancer patients using machine learning and explainability.
Scientific reports
Feb 25, 2025
This research aims to design and validate a machine learning model to predict the probability of urinary tract infections within 90 days post-urostomy in bladder cancer patients. Clinical and follow-up information from 317 patients who had urostomy p...
Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables.
BMC medical informatics and decision making
Jan 9, 2025
BACKGROUND: Urinary tract infection (UTI) is a frequent health-threatening condition. Early reliable diagnosis of UTI helps to prevent misuse or overuse of antibiotics and hence prevent antibiotic resistance. The gold standard for UTI diagnosis is ur...
Use of Machine Learning to Assess the Management of Uncomplicated Urinary Tract Infection.
JAMA network open
Jan 2, 2025
IMPORTANCE: Uncomplicated urinary tract infection (UTI) is a common indication for outpatient antimicrobial therapy. National guidelines for the management of uncomplicated UTI were published in 2011, but the extent to which they align with current p...
External validation of predictive models for antibiotic susceptibility of urine culture.
BJU international
Dec 22, 2024
OBJECTIVE: To develop, externally validate, and test a series of computer algorithms to accurately predict antibiotic susceptibility test (AST) results at the time of clinical diagnosis, up to 3 days before standard urine culture results become avail...
A Universal Method for Fingerprinting Multiplexed Bacteria: Evolving Pruned Sensor Arrays via Machine Learning-Driven Combinatorial Group-Specificity Strategy.
ACS nano
Dec 2, 2024
Array-based sensing technology holds immense potential for discerning the intricacies of biological systems. Nevertheless, developing a universal strategy for simultaneous identification of diverse types of multianalytes and meeting the diagnostic ne...
Estimating individual risk of catheter-associated urinary tract infections using explainable artificial intelligence on clinical data.
American journal of infection control
Oct 29, 2024
BACKGROUND: Catheter-associated urinary tract infections (CAUTIs) increase clinical burdens. Identifying the high-risk patients is crucial. We aimed to develop and externally validate an explainable, prognostic prediction model of CAUTIs among hospit...
Predictive performance of urinalysis for urine culture results according to causative microorganisms: an integrated analysis with artificial intelligence.
Journal of clinical microbiology
Sep 12, 2024
Urinary tract infections (UTIs) are pervasive and prevalent in both community and hospital settings. Recent trends in the changes of the causative microorganisms in these infections could affect the effectiveness of urinalysis (UA). We aimed to evalu...
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