AIMC Topic: Burns

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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,...
Humans Burns Shock Artificial Intelligence Prognosis
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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...
Burns, Electric Rats, Sprague-Dawley Serum Glycoproteins Animals Microcirculation Platelet Aggregation Blood Platelets Rats Enzyme-Linked Immunosorbent Assay beta-Thromboglobulin Burns Trypsin Inhibitors
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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...
Burns Surgery, Computer-Assisted Debridement Dermatologic Surgical Procedures Disease Models, Animal Skin Swine Optical Imaging 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 ...
Humans Clinical Competence Microsurgery Machine Learning Clinical Decision-Making Teaching Surgery, Plastic Internship and Residency Hand Plastic Surgery Procedures Craniosynostoses Datasets as Topic Burns Motor Skills Peripheral Nerves
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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 Optical Imaging Artifacts Spectrum Analysis Pattern Recognition, Automated Image Enhancement Burns Reproducibility of Results Image Interpretation, Computer-Assisted Sensitivity and Specificity Algorithms Skin Animals Machine Learning Dermoscopy Swine
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