Advances in the research of artificial intelligence technology assisting the diagnosis of burn depth
10.3760/cma.j.cn501120-20190403-00162
- VernacularTitle:人工智能技术辅助烧伤深度诊断的研究进展
- Author:
Chi BEN
1
;
Haihang LI
;
Tong LIU
;
Zejing WANG
;
Dasheng CHENG
;
Shihui ZHU
Author Information
1. 海军军医大学附属长海医院烧伤外科，全军烧伤研究所，上海 200433
- Keywords:
Burns;
Diagnostic imaging;
Artificial intelligence;
Burn depth
- From:
Chinese Journal of Burns
2020;36(3):244-246
- CountryChina
- Language:Chinese
-
Abstract:
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 mainly on the empirical subjective judgment of clinicians, with low diagnostic accuracy. Especially for deep partial-thickness burn wounds, the error of early diagnosis is pretty big. In recent years, with the rapid development of artificial intelligence technology, deep learning algorithm combined with image analysis technology can better identify and analyze the information of medical images. This article reviews the research progress of artificial intelligence technology in the diagnosis of burn depth.
