AIMC Topic: Pressure Ulcer

Clear Filters Showing 51 to 60 of 64 articles

Development of a pressure ulcer stage determination system for community healthcare providers using a vision transformer deep learning model.

Medicine Feb 14, 2025
This study reports the first steps toward establishing a computer vision system to help caregivers of bedridden patients detect pressure ulcers (PUs) early. While many previous studies have focused on using convolutional neural networks (CNNs) to ele...
Retrospective Studies Deep Learning Pressure Ulcer Community Health Services Humans Neural Networks, Computer
View on PubMed DOI

Explainable Artificial Intelligence for Early Prediction of Pressure Injury Risk.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Sep 1, 2024
BACKGROUND: Hospital-acquired pressure injuries (HAPIs) have a major impact on patient outcomes in intensive care units (ICUs). Effective prevention relies on early and accurate risk assessment. Traditional risk-assessment tools, such as the Braden S...
Male Middle Aged Risk Assessment ROC Curve Female Risk Factors Aged Pressure Ulcer Humans Algorithms Intensive Care Units Artificial Intelligence Machine Learning
View on PubMed DOI

Evaluation of Machine Learning Algorithms for Pressure Injury Risk Assessment in a Hospital with Limited IT Resources.

Studies in health technology and informatics Aug 22, 2024
Clinical decision support systems for Nursing Process (NP-CDSSs) help resolve a critical challenge in nursing decision-making through automating the Nursing Process. NP-CDSSs are more effective when they are linked to Electronic Medical Record (EMR) ...
Pressure Ulcer Nursing Assessment Algorithms Humans Electronic Health Records Risk Assessment Machine Learning Decision Support Systems, Clinical
View on PubMed DOI

Application of deep learning to pressure injury staging.

Journal of wound care May 2, 2024
OBJECTIVE: Accurate assessment of pressure injuries (PIs) is necessary for a good outcome. Junior and non-specialist nurses have less experience with PIs and lack clinical practice, and so have difficulty staging them accurately. In this work, a deep...
Neural Networks, Computer Female Male Deep Learning Humans Pressure Ulcer
View on PubMed DOI

Using Artificial Intelligence for the Early Detection of Micro-Progression of Pressure Injuries in Hospitalized Patients: A Preliminary Nursing Perspective Evaluation.

Studies in health technology and informatics Jun 6, 2022
This study established a predictive model for the early detection of micro-progression of pressure injuries (PIs) from the perspective of nurses. An easy and programing-free artificial intelligence modeling tool with professional evaluation capabilit...
Artificial Intelligence Hospitalization Nurses Models, Statistical Humans Early Diagnosis Pressure Ulcer
View on PubMed DOI

Predicting pressure injury using nursing assessment phenotypes and machine learning methods.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Pressure injuries are common and serious complications for hospitalized patients. The pressure injury rate is an important patient safety metric and an indicator of the quality of nursing care. Timely and accurate prediction of pressure in...
Pressure Ulcer Nursing Research Aged Aged, 80 and over Male ROC Curve Logistic Models Middle Aged Risk Assessment Female Risk Factors Hospitalization Machine Learning Databases, Factual Electronic Health Records Humans
View on PubMed DOI

Constructing Inpatient Pressure Injury Prediction Models Using Machine Learning Techniques.

Computers, informatics, nursing : CIN Aug 1, 2020
The incidence rate of pressure injury is a critical nursing quality indicator in clinic care; consequently, factors causing pressure injury are diverse and complex. The early prevention of pressure injury and monitoring of these complex high-risk fac...
Machine Learning Forecasting Humans Risk Assessment Chi-Square Distribution Pressure Ulcer Linear Models
View on PubMed DOI

Predictive Modeling of Pressure Injury Risk in Patients Admitted to an Intensive Care Unit.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Jul 1, 2020
BACKGROUND: Pressure injuries are an important problem in hospital care. Detecting the population at risk for pressure injuries is the first step in any preventive strategy. Available tools such as the Norton and Braden scales do not take into accoun...
Adult Sensitivity and Specificity Male Humans Machine Learning Aged Intensive Care Units Critical Care Electronic Health Records Aged, 80 and over APACHE Middle Aged Hospitals, University Female Young Adult Adolescent Pressure Ulcer Risk Assessment Hemoglobins Risk Factors Child Data Mining
View on PubMed DOI

A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: Reliable longitudinal risk prediction for hospitalized patients is needed to provide quality care. Our goal is to develop a generalizable model capable of leveraging clinical notes to predict healthcare-associated diseases 24-96 hours in a...
ROC Curve Support Vector Machine Iatrogenic Disease Natural Language Processing Humans Electronic Health Records Critical Care Retrospective Studies Area Under Curve Anemia Risk Assessment Acute Kidney Injury Pressure Ulcer Deep Learning
View on PubMed DOI

Convolutional neural networks for wound detection: the role of artificial intelligence in wound care.

Journal of wound care Oct 1, 2019
OBJECTIVE: Telemedicine is an essential support system for clinical settings outside the hospital. Recently, the importance of the model for assessment of telemedicine (MAST) has been emphasised. The development of an eHealth-supported wound assessme...
Diabetic Foot Algorithms Telemedicine Humans Diagnosis, Computer-Assisted Varicose Ulcer Pressure Ulcer Image Processing, Computer-Assisted Neural Networks, Computer Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals