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NIH funded proposals with peer-review reports (USA) (141) Clinical Information and Decision Making (2171) Pediatrics (315) Cardiology (246) Decision Support for Health Professionals (1714) Imaging Informatics (358) Health Services in Resource-Poor Settings and LMICs (597) Machine Learning (2331) Artificial Intelligence (2488) Congenital Heart Disease (11)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75270, first published .
Doctor performs ultrasound on newborn baby, displaying fetal image on screen.

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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