人工智能和专家获得的方面存在差异:相关因素和预后影响
XiaoQing Cheng1, Bing Tian2, LiJun Huang3
1Department of Medical Imaging, Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu 210002, China.
European journal of radiology
|September 6, 2024
概括
与专家相比,人工智能 (AI) 在急性缺血性中风中高估了心脏病发作的程度. AI-ASPECTS可能需要较低的值来进行内血管治疗查.
科学领域:
- 神经学 神经学
- 放射学 放射学是一门学科.
- 医学成像分析 医学成像分析
背景情况:
- 阿尔伯塔中风计划早期CT评分 (ASPECTS) 对于评估缺血性中风严重程度至关重要.
- 专家和人工智能 (AI) 对ASPECTS的解释之间存在差异.
- 了解这些差异对于临床决策至关重要.
研究的目的:
- 在急性缺血性中风中,描述AI和专家方面之间的差异.
- 确定与这些差异相关的因素.
- 评估AI衍生的ASPECTS的预后影响.
主要方法:
- 在491名患有大血管封闭症的患者中进行了多中心,回顾性,观察性队列研究.
- 由AI (RAPID ASPECTS) 和专家核心实验室评估的方面.
- 统计分析包括ICC,布兰德-阿尔特曼地图,物流回归和ROC分析.
主要成果:
- 人工智能方面表现出与专家评分 (ICC=0.63) 的中度一致.
- 人工智能方面平均差异为2.24,高估了心脏病发作的程度.
- 慢性心脏病发作和特定的专家评分 (内部囊,晶状体) 与不一致性相关.
- 人工智能方面表现出对不利结果的优异预测 (AUC 0.68 与 0.63).
结论:
- 与专家评估相比,AI ASPECTS倾向于高估心脏病发作的程度.
- 需要进一步的研究来优化AI ASPECTS对于内血管治疗选择的门.
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