AIMC Topic: Burns

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[Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns Jun 20, 2018
To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learning method and logistic regression model. The clinical data of 157 severely burned patients in Augu...
Machine Learning Humans Acute Kidney Injury Sepsis Logistic Models Hospitalization ROC Curve Burns Fluid Therapy Sensitivity and Specificity Organ Dysfunction Scores Explosions
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[Advances in the research of application of artificial intelligence in burn field].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns Apr 20, 2018
Artificial intelligence has been able to automatically learn and judge large-scale data to some extent. Based on database of a large amount of burn data and in-depth learning, artificial intelligence can assist burn surgeons to evaluate burn surface,...
Burns Shock Artificial Intelligence Prognosis Humans
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[Changes of platelet rheological behavior and the interventional effects of ulinastatin in rats with high-voltage electrical burns].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns Dec 20, 2017
To explore the influence of high-voltage electrical burns on the number of platelet aggregation, β-thromboglobulin (β-TG) and platelet factor 4 (PF-4) and the interventional effects of ulinastatin in rats with high-voltage electrical burns. A total...
Microcirculation Platelet Aggregation Burns, Electric Serum Glycoproteins Enzyme-Linked Immunosorbent Assay beta-Thromboglobulin Animals Trypsin Inhibitors Rats Rats, Sprague-Dawley Burns Blood Platelets
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Non-invasive optical imaging techniques for burn-injured tissue detection for debridement surgery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Burn debridement is a challenging technique that requires significant skill to identify regions requiring excision and appropriate excision depth. A machine learning tool is being developed in order to assist surgeons by providing a quantitative asse...
Optical Imaging Debridement Dermatologic Surgical Procedures Burns Surgery, Computer-Assisted Swine Disease Models, Animal Skin Animals
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Big Data and Machine Learning in Plastic Surgery: A New Frontier in Surgical Innovation.

Plastic and reconstructive surgery May 1, 2016
Medical decision-making is increasingly based on quantifiable data. From the moment patients come into contact with the health care system, their entire medical history is recorded electronically. Whether a patient is in the operating room or on the ...
Burns Hand Craniosynostoses Plastic Surgery Procedures Peripheral Nerves Surgery, Plastic Internship and Residency Datasets as Topic Motor Skills Machine Learning Clinical Decision-Making Clinical Competence Microsurgery Humans Teaching
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Outlier detection and removal improves accuracy of machine learning approach to multispectral burn diagnostic imaging.

Journal of biomedical optics Dec 1, 2015
Multispectral imaging (MSI) was implemented to develop a burn tissue classification device to assist burn surgeons in planning and performing debridement surgery. To build a classification model via machine learning, training data accurately represen...
Subtraction Technique Image Enhancement Optical Imaging Burns Swine Machine Learning Dermoscopy Image Interpretation, Computer-Assisted Skin Reproducibility of Results Sensitivity and Specificity Spectrum Analysis Artifacts Algorithms Animals Pattern Recognition, Automated
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