摘要
针对基于人工智能的诊断试验准确性研究,本文总结了其方法学质量评价工具,并简要介绍QUADAS-AI和改良的QUADAS-2工具。此外,总结了此类研究的报告规范,并简要介绍人工智能研究报告清单以及口腔医学人工智能研究清单。
This paper summarizes the methodological quality assessment tools of artificial intelligence-based diagnostic test accuracy studies,and introduces QUADAS-AI and modified QUADAS-2.Moreover,this paper summarizes reporting guidelines of these studies as well,and then introduces specific reporting standards in AI-centred research,and checklist for AI in dental research.
作者
高歌
崔馨心
曾梦雨
曾维
郭际香
张韬
汤炜
刘畅
GAO Ge;CUI Xinxin;ZENG Mengyu;ZENG Wei;GUO Jixiang;ZHANG Tao;TANG Wei;LIU Chang(State Key Laboratory of Oral Diseases&National Center for Stomatology&National Clinical Research Center for Oral Diseases&"Medicine+Manufacturing"Center,West China Hospital of Stomatology,Sichuan University,Chengdu 610041,P.R.China;Machine Intelligence Laboratory,College of Computer Science,Sichuan University,Chengdu 610065,P.R.China;Department of Epidemiology and Health Statistics,West China School of Public Health,Sichuan University,Chengdu 610041,P.R.China)
出处
《中国循证医学杂志》
CSCD
北大核心
2024年第5期598-604,共7页
Chinese Journal of Evidence-based Medicine
基金
四川大学华西口腔医院探索与研发项目(编号:RD-01-202404)
四川大学华西口腔医学院交叉学科创新项目(编号:RD-03-202303)
四川大学“医学+制造”中心探索项目。
关键词
人工智能
机器学习
诊断试验
偏倚风险
方法学质量评价
报告规范
Artificial intelligence
Machine learning
Diagnostic test
Risk of bias
Methodological quality assessment
Reporting guidelines
