• Zhonghua Shao Shang Za Zhi · Mar 2020

    Review

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

    • C Ben, H H Li, T Liu, Z J Wang, D S Cheng, and S H Zhu.
    • Burn Institute of PLA, Department of Burn Surgery, Changhai Hospital, Naval Medical University, Shanghai 200433, China.
    • Zhonghua Shao Shang Za Zhi. 2020 Mar 20; 36 (3): 244-246.

    AbstractThe 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.

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