AIMC Topic: Burns

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Identification of the potential role of PANoptosis-related genes in burns via bioinformatic analyses and experimental validation.

Burns : journal of the International Society for Burn Injuries Mar 31, 2025
BACKGROUND: The treatment of burns is highly challenging due to their complex pathophysiological mechanisms. PANoptosis, as an important form of cell death, is suggested to play a crucial role in the inflammatory response and tissue damage following ...
Gene Expression Profiling ROC Curve Machine Learning Biomarkers Apoptosis Autophagy Burns Computational Biology Databases, Genetic Humans
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Machine Learning-Based Prediction of Delirium and Risk Factor Identification in Intensive Care Unit Patients With Burns: Retrospective Observational Study.

JMIR formative research Mar 5, 2025
BACKGROUND: The incidence of delirium in patients with burns receiving treatment in the intensive care unit (ICU) is high, reaching up to 77%, and has been associated with increased mortality rates. Therefore, early identification of patients at high...
Humans Machine Learning Female Risk Factors Aged Retrospective Studies Intensive Care Units ROC Curve Burns Middle Aged Delirium Adult Risk Assessment Male
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Segmentation and quantitative analysis of optical coherence tomography (OCT) images of laser burned skin based on deep learning.

Biomedical physics & engineering express May 21, 2024
Evaluation of skin recovery is an important step in the treatment of burns. However, conventional methods only observe the surface of the skin and cannot quantify the injury volume. Optical coherence tomography (OCT) is a non-invasive, non-contact, r...
Lasers Skin Burns Mice Tomography, Optical Coherence Algorithms Deep Learning Image Processing, Computer-Assisted Animals
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Machine learning as a hopeful indicator for prediction of complications and mortality in burn patients.

Burns : journal of the International Society for Burn Injuries May 9, 2024
Burns Humans Machine Learning
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Adversarial attacks and adversarial training for burn image segmentation based on deep learning.

Medical & biological engineering & computing May 2, 2024
Deep learning has been widely applied in the fields of image classification and segmentation, while adversarial attacks can impact the model's results in image segmentation and classification. Especially in medical images, due to constraints from fac...
Image Processing, Computer-Assisted Burns Humans Algorithms Deep Learning
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Artificial intelligence language model and burns first aid information: Comment.

Burns : journal of the International Society for Burn Injuries Mar 29, 2024
Artificial Intelligence Burns Humans First Aid
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Enhanced skin burn assessment through transfer learning: a novel framework for human tissue analysis.

Journal of medical engineering & technology Mar 22, 2024
Visual inspection is the typical way for evaluating burns, due to the rising occurrence of burns globally, visual inspection may not be sufficient to detect skin burns because the severity of burns can vary and some burns may not be immediately appar...
Skin Machine Learning Humans Burns India Artificial Intelligence
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Deep Learning during burn prehospital care: An evolving perspective.

Burns : journal of the International Society for Burn Injuries Mar 13, 2024
Burns Deep Learning Emergency Medical Services Humans
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The future of burn management: How can machine learning lead to a revolution in improving the rehabilitation of burn patients?

Burns : journal of the International Society for Burn Injuries Mar 8, 2024
Burns Humans Machine Learning
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An artificial intelligence language model improves readability of burns first aid information.

Burns : journal of the International Society for Burn Injuries Mar 7, 2024
AIMS: This study aimed to assess the potential of using an artificial intelligence (AI) large language model to improve the readability of burns first aid information.
Child Patient Education as Topic Burns Comprehension Artificial Intelligence Language Humans Health Literacy First Aid
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