Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time.
Jacqueline MatthewEmily SkeltonThomas George DayVeronika A ZimmerAlberto GomezGavin WheelerNicolas ToussaintTianrui LiuSamuel BuddKaren LloydRobert WrightShujie DengNooshin GhavamiMatthew SinclairQingjie MengBernhard KainzJulia A SchnabelDaniel RueckertReza RazaviJohn SimpsonJo HajnalPublished in: Prenatal diagnosis (2021)
Separating freehand scanning from image capture and measurement resulted in a faster scan and altered workflow. Removing repetitive tasks may allow more attention to be directed identifying fetal malformation. Further work is required to improve the image plane detection algorithm for use in real time.
Keyphrases
- artificial intelligence
- deep learning
- working memory
- machine learning
- computed tomography
- big data
- magnetic resonance imaging
- high frequency
- high resolution
- loop mediated isothermal amplification
- label free
- electronic health record
- dual energy
- magnetic resonance
- electron microscopy
- mass spectrometry
- neural network
- quantum dots