AI Medical Compendium Journal:
Burns : journal of the International Society for Burn Injuries

Showing 1 to 10 of 24 articles

An artificial intelligence language model improves readability of burns first aid information.

Burns : journal of the International Society for Burn Injuries
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.

Segmentation and classification of skin burn images with artificial intelligence: Development of a mobile application.

Burns : journal of the International Society for Burn Injuries
AIM: This study was conducted to determine the segmentation, classification, object detection, and accuracy of skin burn images using artificial intelligence and a mobile application. With this study, individuals were able to determine the degree of ...

Feasibility of intra-operative image guidance in burn excision surgery with multispectral imaging and deep learning.

Burns : journal of the International Society for Burn Injuries
BACKGROUND: Exposing a healthy wound bed for skin grafting is an important step during burn surgery to ensure graft take and maintain good functional outcomes. Currently, the removal of non-viable tissue in the burn wound bed during excision is deter...

Application of multiple deep learning models for automatic burn wound assessment.

Burns : journal of the International Society for Burn Injuries
PURPOSE: Accurate assessment of the percentage of total body surface area (%TBSA) burned is crucial in managing burn injuries. It is difficult to estimate the size of an irregular shape by inspection. Many articles reported the discrepancy of estimat...