Artificial intelligence and amniotic fluid multiomics: prediction of perinatal outcome in asymptomatic women with short cervix

ABSTRACT Objective To evaluate the application of artificial intelligence (AI), i.e. deep learning and other machine‐learning techniques, to amniotic fluid (AF) metabolomics and proteomics, alone and in combination with sonographic, clinical and demographic factors, in the prediction of perinatal ou...

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Veröffentlicht in:	Ultrasound in obstetrics & gynecology 2019-07, Vol.54 (1), p.110-118
Hauptverfasser:	Bahado‐Singh, R. O., Sonek, J., McKenna, D., Cool, D., Aydas, B., Turkoglu, O., Bjorndahl, T., Mandal, R., Wishart, D., Friedman, P., Graham, S. F., Yilmaz, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Amniocentesis Amniocentesis - methods Amniotic fluid Amniotic Fluid - metabolism Artificial intelligence Artificial Intelligence - standards Biomarkers Cervical Length Measurement - methods Cervix Cervix Uteri - abnormalities Cervix Uteri - diagnostic imaging Chemokines Cytokines Deep learning Demographics Female Gestation Growth factors Humans Intensive Care Units, Neonatal - statistics & numerical data Latency Learning algorithms Liquid chromatography Machine learning Magnetic resonance spectroscopy Mass spectrometry Mass spectroscopy Metabolomics Metabolomics - methods multiomics Neonates NMR Nuclear magnetic resonance perinatal Predictions Predictive Value of Tests Pregnancy Pregnancy Outcome - epidemiology Pregnancy Trimester, Second - metabolism Proteomics Proteomics - methods Retrospective Studies Samples Sensitivity and Specificity Sludge Statistical analysis Statistical methods Statistical significance Ultrasonic imaging Ultrasonography - methods Ultrasound Womens health Young Adult
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Zusammenfassung:	ABSTRACT Objective To evaluate the application of artificial intelligence (AI), i.e. deep learning and other machine‐learning techniques, to amniotic fluid (AF) metabolomics and proteomics, alone and in combination with sonographic, clinical and demographic factors, in the prediction of perinatal outcome in asymptomatic pregnant women with short cervical length (CL). Methods AF samples, which had been obtained in the second trimester from asymptomatic women with short CL (
ISSN:	0960-7692 1469-0705
DOI:	10.1002/uog.20168