Prenatal detection of congenital heart defects using the deep learning-based image and video analysis: protocol for Clinical Artificial Intelligence in Fetal Echocardiography (CAIFE), an international multicentre multidisciplinary study

Prenatal detection of congenital heart defects using the deep learning-based image and video analysis: protocol for Clinical Artificial Intelligence in Fetal Echocardiography (CAIFE), an international multicentre multidisciplinary study

Introduction Congenital heart defect (CHD) is a significant, rapidly emerging global problem in child health and a leading cause of neonatal and childhood death. Prenatal detection of CHDs with the help of ultrasound allows better perinatal management of such pregnancies, leading to reduced neonatal...

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Main Authors: Aris Papageorghiou, Aris T Papageorghiou, David Black, Lawrence Impey, Rachel Craik, Alison Noble, Rahul Ahuja, Christina Aye, Christos Ioannou, Beverly Tsai-Goodman, Kevin Roman, Anupama Nair, Jessica Farmer, J Alison Noble, Makrina Savvidou, Bernadette Brent, Julene Carvalho, Olga Patey, Netzahualcoyotl Hernandez-Cruz, Elena D’Alberti, Bojana Salovic, Theophilus Adu-Bredu, Ilaria Bo, Angelo Cavallaro, FabricioDa SivaCosta, Emma Eccleston, Joanne Everingham, CristianeDe FreitasPaganoti, Eleni Fotaki, Tyrrell Hatch, Joanna Kellett, Karina Lopes, Sally Mahler, Risa Miyazaki Sankar, Divyanshu Mishra, Jennifer Norville, Olivia Nunn, Lola Oshodi, Stavros Polyviou, Lorjah Rajah, Daifenir Rodriguezde LaCruz, Katja Shipp, Bethany Shobbrook, Sophie Tooth, Dimuthu Weerasuriya, Qianye Yang, Yingyu Yang
Format: Article
Language:English
Published: BMJ Publishing Group 2025-06-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/15/6/e101263.full
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https://bmjopen.bmj.com/content/15/6/e101263.full

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