Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

Most artificial intelligence (AI) research and innovations have concentrated in high-income countries, where imaging data, IT infrastructures and clinical expertise are plentiful. However, slower progress has been made in limited-resource environments where medical imaging is needed. For example, in...

Descripción completa

Detalles Bibliográficos
Autores principales: Sendra-Balcells, Carla, Campello, Víctor M., Torrents-Barrena, Jordina, Ahmed, Yahya Ali, Elattar, Mustafa, Ohene-Botwe, Benard, Nyangulu, Pempho, Stones, William, Ammar, Mohammed, Benamer, Lamya Nawal, Kisembo, Harriet Nalubega, Sereke, Senai Goitom, Wanyonyi, Sikolia Z., Temmerman, Marleen, Gratacós, Eduard, Bonet, Elisenda, Eixarch, Elisenda, Mikolaj, Kamil, Tolsgaard, Martin Grønnebæk, Lekadir, Karim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932015/
https://www.ncbi.nlm.nih.gov/pubmed/36792642
http://dx.doi.org/10.1038/s41598-023-29490-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932015/
https://www.ncbi.nlm.nih.gov/pubmed/36792642
http://dx.doi.org/10.1038/s41598-023-29490-3

Ejemplares similares