This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (568) Artificial Intelligence (1371) Decision Support for Health Professionals (1185) Clinical Information and Decision Making (1407) Health Services in Resource-Poor Settings and LMICs (414) Clinical Informatics in Low-Resource Settings and the Developing World (101)

Published on in Vol 11, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34298, first published .
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

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

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

Authors of this article:

Marcel Schmude1 Author Orcid Image ;   Nahya Salim2 Author Orcid Image ;   Hila Azadzoy1 Author Orcid Image ;   Mustafa Bane2 Author Orcid Image ;   Elizabeth Millen1 Author Orcid Image ;   Lisa O’Donnell1 Author Orcid Image ;   Philipp Bode1 Author Orcid Image ;   Ewelina Türk1 Author Orcid Image ;   Ria Vaidya1 Author Orcid Image ;   Stephen Gilbert1, 3 Author Orcid Image
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