Li H H, Bao Z X, Liu X B, Zhu S H
Department of Burn Surgery, Institute of Burns, the first affiliated Hospital of Naval Medical University, Shanghai 200433, China.
Zhonghua Shao Shang Za Zhi. 2018 Apr 20;34(4):246-248. doi: 10.3760/cma.j.issn.1009-2587.2018.04.011.
Artificial intelligence has been able to automatically learn and judge large-scale data to some extent. Based on database of a large amount of burn data and in-depth learning, artificial intelligence can assist burn surgeons to evaluate burn surface, diagnose burn depth, guide fluid supply during shock stage, and predict prognosis, with high accuracy. With the development of technology, artificial intelligence can provide more accurate information for burn surgeons to make clinical diagnosis and treatment strategies.
人工智能已能够在一定程度上自动学习和判断大规模数据。基于大量烧伤数据的数据库并通过深度学习，人工智能可以协助烧伤外科医生评估烧伤创面、诊断烧伤深度、指导休克期的液体供应以及预测预后，准确率很高。随着技术的发展，人工智能可以为烧伤外科医生制定临床诊断和治疗策略提供更准确的信息。
