AIMC Topic: Burns

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Robotic stray energy with constant-voltage versus constant-power regulating electrosurgical generators.

Surgical endoscopy May 25, 2022
INTRODUCTION: Stray energy from surgical energy instruments can cause unintended thermal injuries. There are no published data regarding electrosurgical generators and their influence on stray energy transfer during robotic surgery. There are two app...
Humans Animals Robotic Surgical Procedures Burns Electrosurgery Cattle Robotics
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DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Burn wounds are most commonly evaluated through visual inspection to determine surgical candidacy, taking into account burn depth and individualized patient factors. This process, though cost effective, is subjective and varies by provider experience...
Retrospective Studies Deep Learning Humans Burns
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A deep learning model for burn depth classification using ultrasound imaging.

Journal of the mechanical behavior of biomedical materials Oct 29, 2021
Identification of burn depth with sufficient accuracy is a challenging problem. This paper presents a deep convolutional neural network to classify burn depth based on altered tissue morphology of burned skin manifested as texture patterns in the ult...
Neural Networks, Computer Burns Swine Deep Learning Ultrasonography Animals Skin
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A systematic review of machine learning and automation in burn wound evaluation: A promising but developing frontier.

Burns : journal of the International Society for Burn Injuries Jul 15, 2021
BACKGROUND: Visual evaluation is the most common method of evaluating burn wounds. Its subjective nature can lead to inaccurate diagnoses and inappropriate burn center referrals. Machine learning may provide an objective solution. The objective of th...
Body Surface Area Machine Learning Burns Automation Humans Artificial Intelligence
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Towards artificial intelligence for identifying cases of suspected maltreatment in paediatric burns.

Burns : journal of the International Society for Burn Injuries May 15, 2021
Humans Child Burns Child Abuse Artificial Intelligence Surveys and Questionnaires
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A Framework for Automatic Burn Image Segmentation and Burn Depth Diagnosis Using Deep Learning.

Computational and mathematical methods in medicine Apr 7, 2021
Burn is a common traumatic disease with high morbidity and mortality. The treatment of burns requires accurate and reliable diagnosis of burn wounds and burn depth, which can save lives in some cases. However, due to the complexity of burn wounds, th...
Burns Image Interpretation, Computer-Assisted Photography Deep Learning Databases, Factual Humans Computational Biology
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Critically appraised paper: The addition of robotics with virtual gaming to rehabilitation for children with hand burns improves range of movement, grip strength and hand function [synopsis].

Journal of physiotherapy Mar 12, 2021
Hand Video Games Robotics Burns Humans Follow-Up Studies Hand Strength Child
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Improving burn depth assessment for pediatric scalds by AI based on semantic segmentation of polarized light photography images.

Burns : journal of the International Society for Burn Injuries Feb 8, 2021
This paper illustrates the efficacy of an artificial intelligence (AI) (a convolutional neural network, based on the U-Net), for the burn-depth assessment using semantic segmentation of polarized high-performance light camera images of burn wounds. T...
Photography Burns Semantics Artificial Intelligence Child Humans Neural Networks, Computer
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Low-soluble TREM-like transcript-1 levels early after severe burn reflect increased coagulation disorders and predict 30-day mortality.

Burns : journal of the International Society for Burn Injuries Dec 15, 2020
BACKGROUND: Patients with severe burns often show systemic coagulation changes in the early stage and even develop extensive coagulopathy. Previous studies have confirmed that soluble TREM-like transcript-1 (sTLT-1) mediates a novel mechanism of haem...
Receptors, Immunologic Humans Shock Prospective Studies Burns Biomarkers Blood Coagulation Disorders Anticoagulants
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Lignin-Incorporated Nanogel Serving As an Antioxidant Biomaterial for Wound Healing.

ACS applied bio materials Oct 1, 2020
Oxidative phosphorylation is an important biological process in the body to produce energy, during which oxygen free radicals are generated as byproduct. Excessive oxygen free radicals cause cell death and reduce the rate of tissue regeneration and h...
Lignin Wound Healing Hydrogels Disease Models, Animal Biocompatible Materials Rheology Burns Micelles Particle Size Mice Mice, Inbred BALB C Polyethylene Glycols Animals Nanogels Skin Antioxidants Male
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