AIMC Topic: Burns

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A novel mathematical model to predict prognosis of burnt patients based on logistic regression and support vector machine.

Burns : journal of the International Society for Burn Injuries Jan 13, 2016
OBJECTIVE: To develop a mathematical model of predicting mortality based on the admission characteristics of 6220 burn cases.
Principal Component Analysis Burns Shock Multivariate Analysis ROC Curve Logistic Models Models, Theoretical Support Vector Machine Body Surface Area Smoke Inhalation Injury Trauma Severity Indices Aged Young Adult Adult Middle Aged Infant Adolescent Child, Preschool Child Humans Prognosis Infant, Newborn
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Machine learning in burn care and research: A systematic review of the literature.

Burns : journal of the International Society for Burn Injuries Jul 29, 2015
BACKGROUND: To date, there are no reviews on machine learning (ML) in burn care. Considering the growth of ML in medicine and the complexities and challenges of burn care, this review specializes on ML applications in burn care. The objective was to ...
Humans Machine Learning Aminoglycosides Length of Stay Wound Healing Algorithms Burns Anti-Infective Agents Body Surface Area Survival Rate Biomedical Research
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Influence of the central venous site on the transpulmonary thermodilution parameters in critically ill burn patients.

Burns : journal of the International Society for Burn Injuries Jul 20, 2015
The aim of this study was to verify the measurement concordance of cardiac index (CI), extra-vascular lung water index (EVLWI) and global end diastolic volume index (GEDVI) with transpulmonary thermodilution (TPTD) between the jugular and femoral acc...
Jugular Veins Lung Aged Burns Adult Humans Thermodilution Catheterization, Central Venous Cardiac Output Male Prospective Studies Blood Volume Radiography Extravascular Lung Water Critical Illness Femoral Vein Middle Aged Fluid Therapy Blood Flow Velocity Female
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Features identification for automatic burn classification.

Burns : journal of the International Society for Burn Injuries Jul 15, 2015
PURPOSE: In this paper an automatic system to diagnose burn depths based on colour digital photographs is presented.
Burn Units Humans Algorithms Burns Databases, Factual Automation Photography Diagnosis, Computer-Assisted Trauma Severity Indices Support Vector Machine Reproducibility of Results Skin Sensitivity and Specificity
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Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.

Burns : journal of the International Society for Burn Injuries Apr 27, 2015
INTRODUCTION: Predicting mortality from burn injury has traditionally employed logistic regression models. Alternative machine learning methods have been introduced in some areas of clinical prediction as the necessary software and computational faci...
Humans Bayes Theorem Neural Networks, Computer Male Registries Machine Learning Risk Assessment Software Burns Infant Body Surface Area Logistic Models Decision Support Techniques Wales Adolescent England Support Vector Machine Female Smoke Inhalation Injury Age Factors Young Adult Child, Preschool Models, Statistical Child Adult ROC Curve
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DCA-U-Net: a deep learning network for segmentation of laser-induced thermal damage regions in mouse skin OCT images.

Biomedical physics & engineering express May 28, 2025
Laser-induced thermal injury is a common form of skin damage in clinical treatment, and accurately assessing the extent of injury and treatment efficacy is crucial for patient recovery. In recent years, deep learning models have been increasingly app...
Mice Tomography, Optical Coherence Skin Burns Lasers Algorithms Animals Deep Learning Image Processing, Computer-Assisted
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Motion-Mimicking Robotic Finger Prosthesis for Burn-induced Partial Hand Amputee: A Case Report.

Journal of burn care & research : official publication of the American Burn Association Jan 24, 2025
Burn injuries often result in severe hand complications, including joint contractures and nerve damage, sometimes leading to amputation. Despite early treatment, hypertrophic scarring frequently hampers hand function recovery, and the thick raised sc...
Amputees Artificial Limbs Prosthesis Design Burns, Electric Young Adult Humans Male Finger Injuries Robotics Burns
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Comparing Artificial Intelligence Guided Image Assessment to Current Methods of Burn Assessment.

Journal of burn care & research : official publication of the American Burn Association Jan 24, 2025
Appropriate identification of burn depth and size is paramount. Despite the development of burn depth assessment aids [eg, laser Doppler imaging (LDI)], clinical assessment, which assesses partial-thickness burn depth with 67% accuracy, currently rem...
Male Middle Aged Burns Laser-Doppler Flowmetry Algorithms Retrospective Studies Humans Female Neural Networks, Computer Adult Artificial Intelligence
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[Research progress on the application of artificial intelligence in the early diagnosis and treatment of burn diseases].

Zhonghua wei zhong bing ji jiu yi xue Aug 1, 2024
Artificial intelligence (AI) technology is advancing rapidly, constantly presenting its application value and broad prospects in the medical field. Especially in the early intervention of burn diseases, the new developments, applications, and challen...
Humans Artificial Intelligence Burns Early Diagnosis
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Using Computer Vision and Artificial Intelligence to Track the Healing of Severe Burns.

Journal of burn care & research : official publication of the American Burn Association May 6, 2024
Burn care management includes assessing the severity of burns accurately, especially distinguishing superficial partial-thickness burns from deep partial-thickness burns, in the context of providing definitive, downstream treatment. Moreover, the hea...
Artificial Intelligence Algorithms Wound Healing Burns Humans
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