AIMC Topic: Wound Infection

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High-content imaging and deep learning-driven detection of infectious bacteria in wounds.

Bioprocess and biosystems engineering Dec 2, 2024
Fast and accurate detection of infectious bacteria in wounds is crucial for effective clinical treatment. However, traditional methods take over 24 h to yield results, which is inadequate for urgent clinical needs. Here, we introduce a deep learning-...
Deep Learning Mice Bacteria Pseudomonas aeruginosa Animals Acinetobacter baumannii Wound Infection Escherichia coli Staphylococcus aureus
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Identification of Microorganism in Infected Wounds by Positively Charged Selective Sensor Array and Deep Learning Algorithm.

Analytical chemistry May 3, 2024
Microorganism are ubiquitous and intimately connected with human health and disease management. The accurate and fast identification of pathogenic microorganisms is especially important for diagnosing infections. Herein, three tetraphenylethylene der...
Wound Infection Fluorescent Dyes Fungi Gram-Negative Bacteria Gram-Positive Bacteria Stilbenes Humans Deep Learning
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Impact of robotic and open surgery on patient wound complications in gastric cancer surgery: A meta-analysis.

International wound journal Jul 26, 2023
This meta-analysis is intended to evaluate the effect of both robotic and open-cut operations on postoperative complications of stomach carcinoma. From the earliest date until June 2023, a full and systemic search has been carried out on four main da...
Stomach Neoplasms Postoperative Complications Robotics Humans Abdominal Abscess Carcinoma Wound Infection
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Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing.

International wound journal Jun 9, 2021
We aimed to create and validate a natural language processing algorithm to extract wound infection-related information from nursing notes. We also estimated wound infection prevalence in homecare settings and described related patient characteristics...
Retrospective Studies Humans Prevalence Algorithms Wound Infection Natural Language Processing
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Self-Taught Learning Based on Sparse Autoencoder for E-Nose in Wound Infection Detection.

Sensors (Basel, Switzerland) Oct 7, 2017
For an electronic nose (E-nose) in wound infection distinguishing, traditional learning methods have always needed large quantities of labeled wound infection samples, which are both limited and expensive; thus, we introduce self-taught learning comb...
Electronic Nose Diagnostic Equipment Acetone Wound Infection Formaldehyde Discriminant Analysis Reproducibility of Results Machine Learning Benzene Ethanol
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A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance.

Sensors (Basel, Switzerland) Jun 29, 2015
In this paper, a novel feature extraction approach which can be referred to as moving window function capturing (MWFC) has been proposed to analyze signals of an electronic nose (E-nose) used for detecting types of infectious pathogens in rat wounds....
Signal Processing, Computer-Assisted Animals Gases Bacteria Rats Wound Infection Male Support Vector Machine Electronic Nose Rats, Sprague-Dawley
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Predictive Risk Models for Wound Infection-Related Hospitalization or ED Visits in Home Health Care Using Machine-Learning Algorithms.

Advances in skin & wound care Aug 1, 2021
OBJECTIVE: Wound infection is prevalent in home healthcare (HHC) and often leads to hospitalizations. However, none of the previous studies of wounds in HHC have used data from clinical notes. Therefore, the authors created a more accurate descriptio...
Logistic Models Emergency Service, Hospital Wound Infection Middle Aged Risk Assessment Home Care Services Female Risk Factors Aged Male Hospitalization Forecasting Retrospective Studies Machine Learning Algorithms Humans
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Photographic LVAD Driveline Wound Infection Recognition Using Deep Learning.

Studies in health technology and informatics Jan 1, 2019
The steady increase in the number of patients equipped with mechanical heart support implants, such as left ventricular assist devices (LVAD), along with virtually ubiquitous 24/7 internet connectivity coverage is motive to investigate and develop re...
Neural Networks, Computer Deep Learning Humans Prosthesis-Related Infections Heart-Assist Devices Wound Infection
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Complementary sensors for rapid and sensitive detection of wound bacteria.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Dual sensors for timely wound bacterial infection detection through the measurement of pH and bacterial cell attachment were developed. A high sensitivity of -57.98 ± 7.08 mV/pH (pH 1-13; over 14 days) and a minimum detectable bacteria concentration ...
Wound Infection Bacteria Anti-Bacterial Agents Equipment and Supplies Sensitivity and Specificity
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