ARTIFICIALINTELLIGENCE-BASEDDIAGNOSTICCAPABILITIESINOBSTETRICSANDGYNECOLOGY:ACOMPREHENSIVEREVIEW
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Artificialintelligence(AI)hasemergedasatransformativetechnologyinobstetricsandgynecology,offeringenhanceddiagnosticaccuracythroughmachinelearninganddeeplearningalgorithms.TosystematicallyreviewAI-baseddiagnostictoolsinobstetricsandgynecologyandevaluatetheirclinicalperformance.Comprehensiveliteraturereviewofstudiespublished2018-2025usingPubMed,Scopus,andWebofSciencedatabases.Analysisof147studiesrevealedAIapplicationsinprenatalscreening(sensitivity91-98%),cervicalcancerscreening(accuracy89-96%),ovariantumorclassification(AUC0.87-0.94),andpregnancyoutcomeprediction(precision82-91%).AI-baseddiagnostictoolsshowsubstantialpromisebutrequirerigorousclinicalvalidation,biasmitigation,andworkflowintegrationbeforewidespreadimplementation
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Zenodo创建时间：
2026-02-23
