AIMC Topic: Burns

Clear Filters Showing 41 to 50 of 69 articles

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.
Support Vector Machine Principal Component Analysis Burns Shock Child ROC Curve Logistic Models Models, Theoretical Multivariate Analysis Body Surface Area Smoke Inhalation Injury Trauma Severity Indices Infant, Newborn Aged Young Adult Adult Middle Aged Infant Adolescent Child, Preschool Humans Prognosis
View on PubMed DOI

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 Burns Body Surface Area Algorithms Anti-Infective Agents Survival Rate Biomedical Research
View on PubMed DOI

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...
Lung Catheterization, Central Venous Radiography Humans Aged Fluid Therapy Jugular Veins Burns Prospective Studies Adult Thermodilution Cardiac Output Male Critical Illness Blood Volume Extravascular Lung Water Middle Aged Female Blood Flow Velocity Femoral Vein
View on PubMed DOI

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.
Trauma Severity Indices Humans Burn Units Skin Algorithms Burns Databases, Factual Automation Reproducibility of Results Photography Sensitivity and Specificity Diagnosis, Computer-Assisted Support Vector Machine
View on PubMed DOI

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...
Bayes Theorem Humans Registries Logistic Models Burns Wales Support Vector Machine Neural Networks, Computer Body Surface Area Adolescent Age Factors Smoke Inhalation Injury Models, Statistical Machine Learning Male Child, Preschool Decision Support Techniques Software Risk Assessment Child Female Infant Young Adult England Adult ROC Curve
View on PubMed DOI

An Integrated Deep Learning and Large Language Model for Burn Wound Depth Recognition.

Journal of burn care & research : official publication of the American Burn Association Jan 6, 2026
Accurate burn depth assessment remains a challenge, especially in emergency settings. This study aimed to develop a low-cost artificial intelligence (AI)-based system for burn wound classification using deep learning and large language models (LLMs)....
Deep Learning Burns Large Language Models Humans
View on PubMed DOI

Evaluating ChatGPT's Utility in Addressing Socioeconomic Disparities in Burn Patients: A Comparative Study With Google.

Journal of burn care & research : official publication of the American Burn Association Jan 6, 2026
Patients from low-socioeconomic status (SES) backgrounds face barriers to quality burn care, such as limited healthcare access and follow-up. Many turn to online resources like Google, which may provide overwhelming or irrelevant information. This st...
Humans Healthcare Disparities Social Class Comprehension Generative Artificial Intelligence Search Engine Socioeconomic Factors Socioeconomic Disparities in Health Burns Internet
View on PubMed DOI

Integrating multi-source data for skin burn classification using deep learning.

Computers in biology and medicine Sep 1, 2025
BACKGROUND: Skin burns result from thermal or chemical damage to the skin, requiring timely and accurate assessment for effective treatment. Determining the degree of burns is crucial for appropriate clinical decisions, especially for interventions l...
Image Processing, Computer-Assisted Skin Burns Databases, Factual Female Male Humans Deep Learning
View on PubMed DOI

Promoting patient health literacy in burn care through artificial intelligence language learning models: A study of text analysis and simplification.

Burns : journal of the International Society for Burn Injuries Aug 1, 2025
Health literacy is essential in patient care, especially in burn treatment, where understanding care information can significantly influence recovery outcomes. Despite national guidelines recommending that patient education materials be written at a ...
Burns Comprehension Health Literacy Humans Artificial Intelligence Patient Education as Topic
View on PubMed DOI

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...
Algorithms Animals Deep Learning Image Processing, Computer-Assisted Lasers Mice Tomography, Optical Coherence Skin Burns
View on PubMed DOI
Popular Topics
Recent Journals