Role of artificial-intelligence-assisted automated cardiac biometrics in prenatal screening for coarctation of aorta.
C A Taksøe-VesterK MikolajO B B PetersenN G VejlstrupA N ChristensenA FeragenM NielsenM B S SvendsenMartin Grønnebaek TolsgaardPublished in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2024)
The integration of AI technology with automated cardiac biometric measurements obtained during the 18-22-week anomaly scan has the potential to enhance substantially the performance of screening for fetal CoA and subsequently the detection rate of CoA. Future research should clarify how AI technology can be used to aid in the screening and detection of congenital heart anomalies to improve neonatal outcomes. © 2024 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
Keyphrases
- artificial intelligence
- machine learning
- deep learning
- big data
- magnetic resonance imaging
- left ventricular
- high throughput
- computed tomography
- loop mediated isothermal amplification
- fatty acid
- label free
- real time pcr
- pregnant women
- aortic valve
- ultrasound guided
- randomized controlled trial
- heart failure
- type diabetes
- pulmonary artery
- current status
- adipose tissue
- contrast enhanced ultrasound
- clinical trial
- climate change
- quantum dots
- insulin resistance