African Population and Health Research Center
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Enabling data sharing and utilization for African population health data using OHDSI tools with an OMOP-common data model
Sylvia Kiwuwa-Muyingo, Jim Todd, Tathagata Bhattacharjee et al.
2023 · 14 Zit.
Translation and validation of the artificial intelligence anxiety scale in German
André Hajek, Larissa Zwar, Ariana Neumann et al.
2025 · 1 Zit.
Additional file 1 of Data science and artificial intelligence for maternal, newborn and child health: scoping review and thematic analysis
Joseph Akuze, Grieven P. Otieno, Samson Yohannes Amare et al.
2026 · 0 Zit.
Protocol for a scoping review examining the application of large language models in healthcare education and public health learning spaces
Henry Ndukwe, Emmanuel Otukpa
2026 · 0 Zit.
Health data science revolution in Africa: potential for addressing the myriad health challenges
A. Kofi Amegah, Catherine Kyobutungi, Emile R. Chimusa
2025 · 0 Zit.
Additional file 2 of Data science and artificial intelligence for maternal, newborn and child health: scoping review and thematic analysis
Joseph Akuze, Grieven P. Otieno, Samson Yohannes Amare et al.
2026 · 0 Zit.
Additional file 1 of Data science and artificial intelligence for maternal, newborn and child health: scoping review and thematic analysis
Joseph Akuze, Grieven P. Otieno, Samson Yohannes Amare et al.
2026 · 0 Zit.
The Sickle Africa Data Coordinating Centre (SADaCC): a data science hub for interdisciplinary sickle cell disease research and training
A. Wonkam, Nchangwi Syntia Munung, Mario Jonas et al.
2026 · 0 Zit.
Equitable intelligence for Africa: strengthening global health artificial intelligence (AI) governance
Luchuo Engelbert Bain, Basile Njei
2025 · 0 Zit.
Data science without borders: bridging the divide in data science capacity across African health institutions
Agnes Kiragga, Samuel Iddi, Abel W. Walekhwa et al.
2025 · 0 Zit.
Additional file 2 of Data science and artificial intelligence for maternal, newborn and child health: scoping review and thematic analysis
Joseph Akuze, Grieven P. Otieno, Samson Yohannes Amare et al.
2026 · 0 Zit.