Artificial intelligence-based diagnostic test accuracy studies:methodological quality assessment and reporting guidelines
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.
Artificial intelligenceMachine learningDiagnostic testRisk of biasMethodological quality assessmentReporting guidelines
万方数据
维普
