AIMC Topic: Urinary Tract Infections

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Diagnosis of urinary tract infection based on artificial intelligence methods.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Urinary tract infection (UTI) is a common disease affecting the vast majority of people. UTI involves a simple infection caused by urinary tract inflammation as well as a complicated infection that may be caused by an inflam...

Phenotypic Antimicrobial Susceptibility Testing with Deep Learning Video Microscopy.

Analytical chemistry
Timely determination of antimicrobial susceptibility for a bacterial infection enables precision prescription, shortens treatment time, and helps minimize the spread of antibiotic resistant infections. Current antimicrobial susceptibility testing (AS...

Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Catheter-associated urinary tract infection (CAUTI) is a common and costly healthcare-associated infection, yet measuring it accurately is challenging and resource-intensive. Electronic surveillance promises to make this task more objective and effic...

Predicting urinary tract infections in the emergency department with machine learning.

PloS one
BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) diagnosis with reported high diagnostic error rates. Because a urine culture, part of the gold standard for diagnosis of UTI, is usually not available for 24-48 hours aft...

Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The recent introduction of Full Laboratory Automation systems in clinical microbiology opens to the availability of streams of high definition images representing bacteria culturing plates. This creates new opportunities to ...

Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Manual Chart Review (MCR) is an important but labor-intensive task for clinical research and quality improvement. In this study, aiming to accelerate the process of extracting postoperative outcomes from medical charts, we developed an automated post...

Detecting the presence of an indwelling urinary catheter and urinary symptoms in hospitalized patients using natural language processing.

Journal of biomedical informatics
OBJECTIVE: To develop a natural language processing pipeline to extract positively asserted concepts related to the presence of an indwelling urinary catheter in hospitalized patients from the free text of the electronic medical note. The goal is to ...

Natural Language Processing for Real-Time Catheter-Associated Urinary Tract Infection Surveillance: Results of a Pilot Implementation Trial.

Infection control and hospital epidemiology
BACKGROUND: Incidence of catheter-associated urinary tract infection (CAUTI) is a quality benchmark. To streamline conventional detection methods, an electronic surveillance system augmented with natural language processing (NLP), which gathers data ...