This paper is in the following e-collection/theme issue:

NIH funded proposals with peer-review reports (USA) (112) Clinical Information and Decision Making (1914) Cardiology (223) Decision Support for Health Professionals (1538) Artificial Intelligence (2124) Machine Learning (2074) Health Services in Resource-Poor Settings and LMICs (542) Congenital Heart Disease (10) Pediatrics (278) Imaging Informatics (302)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75270, first published .
Artificial Intelligence–Assisted Image Extraction in Neonatal Echocardiography for Congenital Heart Disease Diagnosis in Sub-Saharan Africa: Protocol for Model Development

Artificial Intelligence–Assisted Image Extraction in Neonatal Echocardiography for Congenital Heart Disease Diagnosis in Sub-Saharan Africa: Protocol for Model Development

Artificial Intelligence–Assisted Image Extraction in Neonatal Echocardiography for Congenital Heart Disease Diagnosis in Sub-Saharan Africa: Protocol for Model Development

Authors of this article:

Aminkeng Zawuo Leke1 Author Orcid Image ;   Lionel Landry Sop Deffo1 Author Orcid Image ;   Yunkavi Sabastian Wirsiy1 Author Orcid Image ;   Thomas Aldersley2 Author Orcid Image ;   Thomas Day3 Author Orcid Image ;   Andrew P King3 Author Orcid Image ;   Patrick McAllister4 Author Orcid Image ;   Michel N Maboh1 Author Orcid Image ;   John Lawrenson2 Author Orcid Image ;   Cabral Tantchou5 Author Orcid Image ;   Bernhard Kainz6 Author Orcid Image ;   Frank Casey7 Author Orcid Image ;   Raymond Bond4 Author Orcid Image ;   Dewar Finlay4 Author Orcid Image ;   Ngoe Kelson Tchinda1 Author Orcid Image ;   Armstrong Obale1 Author Orcid Image ;   Frunwi Ndeh Mugri1 Author Orcid Image ;   Liesl Zühlke2, 8 Author Orcid Image ;   Helen Dolk7 Author Orcid Image
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