| Autor: |
C, Ben, H H, Li, T, Liu, Z J, Wang, D S, Cheng, S H, Zhu |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns. 36(3) |
| ISSN: |
1009-2587 |
| Popis: |
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.烧伤深度的早期精确诊断对决定相应的临床干预手段和判断烧伤患者预后质量具有重要意义。然而目前烧伤深度的诊断仍主要依靠临床医师的主观经验性判断，准确率低，尤其对于深Ⅱ度烧伤创面，早期诊断误差较大。近年来，人工智能技术发展迅速，深度学习算法结合图像分析技术能够更好地识别、分析医学图像信息。本文将对人工智能技术在烧伤深度诊断方面的研究进展进行综述。. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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