Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?

Journal: Prenatal diagnosis
Published Date: Sep 30, 2023

Abstract

BACKGROUND: Artificial intelligence (AI) has the potential to improve prenatal detection of congenital heart disease. We analysed the performance of the current national screening programme in detecting hypoplastic left heart syndrome (HLHS) to compare with our own AI model.

Authors

  • Thomas G Day
    School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Samuel Budd
    Department of Computing, Imperial College London, UK. Electronic address: samuel.budd13@imperial.ac.uk.
  • Jeremy Tan
  • Jacqueline Matthew
  • Emily Skelton
    School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Victoria Jowett
    Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
  • David Lloyd
  • Alberto Gomez
    Ultromics Ltd, Oxford, United Kingdom.
  • Jo V Hajnal
    School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
  • Reza Razavi
  • Bernhard Kainz
    Biomedical Image Analysis (BioMedIA) Group, Department of Computing, Imperial College London, UK.
  • John M Simpson
    Department of Congenital Heart Disease, Evelina Children's Healthcare, Guy's and St Thomas' NHS Foundation Trust, London, UK.

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