A clinical decision support system of pressure ulcers tissue classification

DH Chang, PJ Chu, YJ Li, CK Ning… - Proceedings of the 5th …, 2021 - dl.acm.org
Pressure ulcers (PUs) are a common problem associated with great morbidity and cost.
Because of the lack of professional personnel in the institutions or home care system, the …

Application of deep learning to pressure injury staging

H Liu, J Hu, J Zhou, R Yu - Journal of Wound Care, 2024 - magonlinelibrary.com
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 …

[PDF][PDF] A rapid review on application scenarios for artificial intelligence in nursing care

K Seibert, D Domhoff, D Bruch, M Schulte-Althoff… - JMIR …, 2020 - researchgate.net
Background: Artificial intelligence (AI) holds the promise to support nurses' clinical decision
making in complex care situations or to conduct tasks that are remote from direct patient …

Mechanical Ventilator Pressure and Volume Control Using Classifier Machine Learning Algorithm for Medical Care

T Anitha, G Gopu, P Arun Mozhi Devan - Journal of Electrical Engineering …, 2024 - Springer
The mechanical ventilation technique is crucial for saving the lives of critically ill patients in
the Intensive Care Unit. However, there can be a mismatch between the patient's needs and …

Improvement of Mucosal Lesion Diagnosis with Machine Learning Based on Medical and Semiological Data: An Observational Study

A Dubuc, A Zitouni, C Thomas, P Kémoun… - Journal of Clinical …, 2022 - mdpi.com
Despite artificial intelligence used in skin dermatology diagnosis is booming, application in
oral pathology remains to be developed. Early diagnosis and therefore early management …

A system for quantifying facial symmetry from 3D contour maps based on transfer learning and fast R-CNN

HH Lin, T Zhang, YC Wang, CT Yang, LJ Lo… - The Journal of …, 2022 - Springer
Physicians spend much time observing the facial symmetry of patients and collecting various
data to arrive at an accurate clinical judgment. This study presents a transfer learning …

Diabetic foot ulcer segmentation using logistic regression, DBSCAN clustering and mathematical morphology operators

A Heras-Tang, D Valdés-Santiago… - … : Electronic Letters on …, 2022 - ddd.uab.cat
Digital images are used for the evaluation and diagnosis of diabetic foot ulcers. Selecting
the region of interest in an image is a preliminary step for subsequent analysis. Most of the …

Encoder–decoder semantic segmentation models for pressure wound images

H Eldem, E Ülker, O Yaşar Işıklı - The Imaging Science Journal, 2022 - Taylor & Francis
Segmentation of wound images is important for efficient wound treatment so that appropriate
treatment methods can be recommended quickly. Wound measurement, is subjective for an …

[PDF][PDF] Performance Analysis of Supervised Machine Learning Algorithms on Medical Dataset

A Juyal, C Pandey, J Pant, A Dumka… - International Journal of …, 2020 - academia.edu
Machine learning (ML) algorithms are designed to perform prediction based on features.
With the help of machine learning, system can automatically learn and improve by …

Applying Deep Learning to Establish a Telemedicine Assistance System: A Case Study of the Stage Classification of Pressure Injuries

C Ming-Chuan, TY Tseng, CC Chang… - … Engineering in a …, 2023 - books.google.com
The current medical system still uses manual work for the assessment of pressure injuries.
For medical staff, it consumes lots of time and energy, and is difficult to maintain a consistent …