AIMC Topic: Burns

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Motion-Mimicking Robotic Finger Prosthesis for Burn-induced Partial Hand Amputee: A Case Report.

Journal of burn care & research : official publication of the American Burn Association
Burn injuries often result in severe hand complications, including joint contractures and nerve damage, sometimes leading to amputation. Despite early treatment, hypertrophic scarring frequently hampers hand function recovery, and the thick raised sc...

Comparing Artificial Intelligence Guided Image Assessment to Current Methods of Burn Assessment.

Journal of burn care & research : official publication of the American Burn Association
Appropriate identification of burn depth and size is paramount. Despite the development of burn depth assessment aids [eg, laser Doppler imaging (LDI)], clinical assessment, which assesses partial-thickness burn depth with 67% accuracy, currently rem...

[Research progress on the application of artificial intelligence in the early diagnosis and treatment of burn diseases].

Zhonghua wei zhong bing ji jiu yi xue
Artificial intelligence (AI) technology is advancing rapidly, constantly presenting its application value and broad prospects in the medical field. Especially in the early intervention of burn diseases, the new developments, applications, and challen...

Using Computer Vision and Artificial Intelligence to Track the Healing of Severe Burns.

Journal of burn care & research : official publication of the American Burn Association
Burn care management includes assessing the severity of burns accurately, especially distinguishing superficial partial-thickness burns from deep partial-thickness burns, in the context of providing definitive, downstream treatment. Moreover, the hea...

Autonomous Multi-modality Burn Wound Characterization using Artificial Intelligence.

Military medicine
INTRODUCTION: Between 5% and 20% of all combat-related casualties are attributed to burn wounds. A decrease in the mortality rate of burns by about 36% can be achieved with early treatment, but this is contingent upon accurate characterization of the...

Clinical Investigation of a Rapid Non-invasive Multispectral Imaging Device Utilizing an Artificial Intelligence Algorithm for Improved Burn Assessment.

Journal of burn care & research : official publication of the American Burn Association
Currently, the incorrect judgment of burn depth remains common even among experienced surgeons. Contributing to this problem are change in burn appearance throughout the first week requiring periodic evaluation until a confident diagnosis can be made...

[Research advances on functional training robots in burn rehabilitation].

Zhonghua shao shang yu chuang mian xiu fu za zhi
Patients with deep burns are prone to suffer cicatrix hyperplasia or contracture, leading to problems including dysfunction in limbs, which impacts patients' life quality and makes it difficult for them to return to society. Thereby, the rehabilitati...

Potential for Machine Learning in Burn Care.

Journal of burn care & research : official publication of the American Burn Association
Burn-related injuries are a leading cause of morbidity across the globe. Accurate assessment and treatment have been demonstrated to reduce the morbidity and mortality. This essay explores the forms of artificial intelligence to be implemented the fi...

Enhancing Military Burn- and Trauma-Related Acute Kidney Injury Prediction Through an Automated Machine Learning Platform and Point-of-Care Testing.

Archives of pathology & laboratory medicine
CONTEXT.—: Delayed recognition of acute kidney injury (AKI) results in poor outcomes in military and civilian burn-trauma care. Poor predictive ability of urine output (UOP) and creatinine contribute to the delayed recognition of AKI.

[Advances in the research of artificial intelligence technology assisting the diagnosis of burn depth].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns
The early accurate diagnosis of burn depth is of great significance in determining the corresponding clinical intervention methods and judging the prognosis quality of burn patients. However, the current diagnostic method of burn depth still relies m...