Investigating the Potential for Clinical Decision Support in Sub-Saharan Africa With AFYA (Artificial Intelligence-Based Assessment of Health Symptoms in Tanzania): Protocol for a Prospective, Observational Pilot Study

BACKGROUND: Low- and middle-income countries face difficulties in providing adequate health care. One of the reasons is a shortage of qualified health workers. Diagnostic decision support systems are designed to aid clinicians in their work and have the potential to mitigate pressure on health care...

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Detalles Bibliográficos
Autores principales: Schmude, Marcel, Salim, Nahya, Azadzoy, Hila, Bane, Mustafa, Millen, Elizabeth, O’Donnell, Lisa, Bode, Philipp, Türk, Ewelina, Vaidya, Ria, Gilbert, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214611/
https://www.ncbi.nlm.nih.gov/pubmed/35671073
http://dx.doi.org/10.2196/34298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214611/
https://www.ncbi.nlm.nih.gov/pubmed/35671073
http://dx.doi.org/10.2196/34298

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