biostudies-literatureUnknown2(7)Fung RNational Institute for Health Research (NIHR)<h4>Background</h4>Preterm birth is a major global health challenge, the leading cause of death in children under 5 years of age, and a key measure of a population's general health and nutritional status. Current clinical methods of estimating fetal gestational age are often inaccurate. For example, between 20 and 30 weeks of gestation, the width of the 95% prediction interval around the actual gestational age is estimated to be 18-36 days, even when the best ultrasound estimates are used. The aims of this study are to improve estimates of fetal gestational age and provide personalised predictions of future growth.<h4>Methods</h4>Using ultrasound-derived, fetal biometric data, we developed a machine learning approach to accurately estimate gestational age. The accuracy of the method is detThe Lancet. Digital healthe368-e375https://www.ebi.ac.uk/biostudies/studies/S-EPMC7323599biostudies-literatureAchieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study.PMC7323599Laister APaulsene WPatel BBornemeier SMwakio SZaidi SUauy RSalomon LJRossi CYuan YKatz MCarew RGilli GKunnawar NCosgrove CMcCormick KNewton CROas KBaricco MSignorile FWanyonyi SVenkataraman MGilli PRocco DASande JStaines-Urias EMuninzwa DTaori VBuckle MReade DMiller RGravett MGAl-Jabri HVillar JAndersen HFWiladphaingern SGolding JKnight CLStein ASalam RWang JHSharps MZhang JJShorten MKhedikar VRoseman FVinayak SMonyepote BShembekar CJacinta NLeston AOlearo EKihara MStones WSaboo KWu QQCapp ARoseman SAl-Aamri FLephoto TSeale Ada Silveira MFBurnham OMainwaring MYellappan DJimenez-Bustos JMOwende MGDeutsch GPaul VAranzeta LPurwar MKilonzo JMalgas LAl-Habsi FAlija MWilkinson AGiolito MGiuliani FIbanez DMahorkar CFernandes MDhami JVaralda ACarrara VILewis TFarhi FNosten FKennedy SGu SHIoannou COberto MAl-Zadjali WKAsh SChoudhary AFrederick IOLiu HKemp BJaffer YAMcGready RAl-Lawatiya HRothwell PMIsmail LCSclowitz IKChamberlain PCarvalho MFrigerio MRajan VKizidio JVictora CSavini SKetkar MHe YPMitidieri AWeatherall DJackson NBarsosio HMaggiora EDi NPZhang YNoble JAAlbernaz EBhat BADeshmukh SFinkton DJuangco FRChumlea WCSanchez LMWu MHPapageorghiou ATCheikh ILInternational Fetal and Newborn Growth Consortium for the 21st Century (INTERGROWTH-21st)Fonseca SNgami VFung RShah JNapolitano RAlam Dde Leon EOchieng RAhmed IJuodvirsiene LWulff KSorensen TKBertino ESalomon LMatijasevich ARaza APang RYGaglioti PDashti APang RLloyd SAbubakar AChoudhary SBlakey ILanger AKisiang'ani CMkrtychyan VSarris ISalim MOhuma EOHussein SNorris SACarter AADolk HShen YJNorris TNorris SBerkley JMwangudzah HTayade KMulik IBatra MGuman YSingh AVictora CGRivera JSomani AWilson DPuglia FBatiuk CAl-Abri JOlivera IZainab GDighe MSoria-Frisch AAlgren HMin AMBhutta ZAMacauley SWang LMusee NOurmazd ABhan MKGarza CEnquobahrie DPace CStaines Urias EMota DWaller SCondon CBarros FCEskenazi BRovelli ISohoni SBradman ALambert ADomingues MMin AKnight HEAl-Rashidiya BOcchi Lde Wet TAl-Abduwani JWalusuna LAbbott SECraik RTodros TMunim SCararra VICorra LABurton FHoch LPan YLumbiganon PAltman DGKennedy SHJaiswal SDanelon DDongaonkar DAcedo JCheikh Ismail LfalseAchieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study.<h4>Background</h4>Preterm birth is a major global health challenge, the leading cause of death in children under 5 years of age, and a key measure of a population's general health and nutritional status. Current clinical methods of estimating fetal gestational age are often inaccurate. For example, between 20 and 30 weeks of gestation, the width of the 95% prediction interval around the actual gestational age is estimated to be 18-36 days, even when the best ultrasound estimates are used. The aims of this study are to improve estimates of fetal gestational age and provide personalised predictions of future growth.<h4>Methods</h4>Using ultrasound-derived, fetal biometric data, we developed a machine learning approach to accurately estimate gestational age. The accuracy of the method is det2020-01-01T00:00:00Z2020 Jul2025-04-19T23:43:43.219Z2020-07-04T07:23:05ZS-EPMC73235993261752510.1016/S2589-7500(20)30131-X