AIMC Topic: Pressure Ulcer

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In-Bed Posture Classification Using Deep Neural Network.

Sensors (Basel, Switzerland) Feb 22, 2023
In-bed posture monitoring has become a prevalent area of research to help minimize the risk of pressure sore development and to increase sleep quality. This paper proposed 2D and 3D Convolutional Neural Networks, which are trained on images and video...
Pressure Ulcer Sleep Movement Humans Hospitals Posture Neural Networks, Computer
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Visual classification of pressure injury stages for nurses: A deep learning model applying modern convolutional neural networks.

Journal of advanced nursing Feb 8, 2023
AIMS: To develop a deep learning model for pressure injury stages classification based on real-world photographs and compare its performance with that of clinical nurses to seek the opportunity of its application in clinical settings.
Humans Deep Learning Nurses Pressure Ulcer Neural Networks, Computer Retrospective Studies
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Simultaneous Segmentation and Classification of Pressure Injury Image Data Using Mask-R-CNN.

Computational and mathematical methods in medicine Feb 2, 2023
BACKGROUND: Pressure injuries (PIs) impose a substantial burden on patients, caregivers, and healthcare systems, affecting an estimated 3 million Americans and costing nearly $18 billion annually. Accurate pressure injury staging remains clinically c...
Algorithms Deep Learning Humans Image Processing, Computer-Assisted Pressure Ulcer
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Automatic segmentation and measurement of pressure injuries using deep learning models and a LiDAR camera.

Scientific reports Jan 13, 2023
Pressure injuries are a common problem resulting in poor prognosis, long-term hospitalization, and increased medical costs in an aging society. This study developed a method to do automatic segmentation and area measurement of pressure injuries using...
Humans Prospective Studies Taiwan Pressure Ulcer Deep Learning Image Processing, Computer-Assisted
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Pressure Injury Prediction Model Using Advanced Analytics for At-Risk Hospitalized Patients.

Journal of patient safety May 19, 2022
OBJECTIVE: Analyzing pressure injury (PI) risk factors is complex because of multiplicity of associated factors and the multidimensional nature of this injury. The main objective of this study was to identify patients at risk of developing PI.
Pressure Ulcer Machine Learning Risk Factors Cohort Studies ROC Curve Humans
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Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis.

PloS one Feb 17, 2022
A pressure ulcer is an injury of the skin and underlying tissues adjacent to a bony eminence. Patients who suffer from this disease may have difficulty accessing medical care. Recently, the COVID-19 pandemic has exacerbated this situation. Automatic ...
Humans Neural Networks, Computer COVID-19 Algorithms Pressure Ulcer Image Processing, Computer-Assisted SARS-CoV-2 Taiwan Deep Learning
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Development and validation of a machine learning algorithm-based risk prediction model of pressure injury in the intensive care unit.

International wound journal Jan 25, 2022
The study aimed to establish a machine learning-based scoring nomogram for early recognition of likely pressure injuries in an intensive care unit (ICU) using large-scale clinical data. A retrospective cohort study design was employed to develop and ...
Pressure Ulcer Intensive Care Units Electronic Health Records Humans Algorithms Retrospective Studies Machine Learning
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Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence.

BMC medical informatics and decision making Aug 30, 2021
BACKGROUND: Hospital-acquired pressure injuries (PIs) induce significant patient suffering, inflate healthcare costs, and increase clinical co-morbidities. PIs are mostly due to bed-immobility, sensory impairment, bed positioning, and length of hospi...
Neural Networks, Computer Artificial Intelligence Inpatients Humans Pressure Ulcer Machine Learning Electronic Health Records
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Exploring a Fuzzy Rule Inferred ConvLSTM for Discovering and Adjusting the Optimal Posture of Patients with a Smart Medical Bed.

International journal of environmental research and public health Jun 11, 2021
Several countries nowadays are facing a tough social challenge caused by the aging population. This public health issue continues to impose strain on clinical healthcare, such as the need to prevent terminal patients' pressure ulcers. Provocative app...
Aged Pressure Ulcer Humans Neural Networks, Computer Posture
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Supervised machine learning-based prediction for in-hospital pressure injury development using electronic health records: A retrospective observational cohort study in a university hospital in Japan.

International journal of nursing studies Mar 26, 2021
BACKGROUND: In hospitals, nurses are responsible for pressure injury risk assessment using several kinds of risk assessment scales. However, their predictive validity is insufficient to initiate targeted preventive strategy for each patient. The use ...
Hospitals, University Japan Activities of Daily Living Pressure Ulcer Humans Electronic Health Records Retrospective Studies Supervised Machine Learning
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