Deep learning in congenital heart disease imaging: hope but not haste

Heart. 2020 Jul;106(13):960-961. doi: 10.1136/heartjnl-2019-316496. Epub 2020 Apr 27.

Authors

Rhodri Davies^{1

2}, Sonya V Babu-Narayan^{3

4}

Affiliations

¹ Barts Heart Centre, St Bartholomew's Hospital, London, UK rhodri.davies2@nhs.net.
² Institute of Cardiovascular Science, University College London, London, London, UK.
³ Adult Congenital Heart Centre and National Centre for Pulmonary Hypertension, Royal Brompton Hospital, London, UK.
⁴ National Heart and Lung Institute, Imperial College, London, UK.

PMID: 32341135
DOI: 10.1136/heartjnl-2019-316496

No abstract available

Keywords: cardiac imaging and diagnostics; congenital heart disease.

Publication types

Editorial
Comment

MeSH terms

Deep Learning*
Heart Defects, Congenital* / diagnostic imaging
Humans
Image Processing, Computer-Assisted
Prognosis
Tetralogy of Fallot*

Grants and funding

FS/11/38/28864/BHF_/British Heart Foundation/United Kingdom