医学
支气管镜检查
柔性支气管镜检查
培训(气象学)
完备性(序理论)
人工智能
强化学习
培训体系
外科
计算机科学
数学
经济增长
物理
数学分析
气象学
经济
作者
Junfeng Huang,Jinsheng Lin,Zikai Lin,Shiyue Li,Changhao Zhong
出处
期刊:Chest
[Elsevier]
日期:2024-02-01
卷期号:165 (2): e60-e61
标识
DOI:10.1016/j.chest.2023.09.034
摘要
In their article published in this issue of CHEST, Cold et al1 proposed a new application of an artificial intelligence (AI)-based system with visual guidance and immediate feedback in simulation-based bronchoscopy training. The novices using the AI system achieved higher diagnostic completeness and structured progress on the bronchial tree. More importantly, the authors clearly demonstrate the effectiveness of AI feedback in establishing structured awareness of bronchoscopy and its reinforcement of autonomous learning motivation.
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