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

Marcel Schmude 1*, MD;  Nahya Salim 2*, PhD;  Hila Azadzoy 1, MSc;  Mustafa Bane 2, MD;  Elizabeth Millen 1, BSc;  Lisa O’Donnell 1, BA;  Philipp Bode 1, MSc;  Ewelina Türk 1, MD;  Ria Vaidya 1, MSc;  Stephen Gilbert 1, 3, PhD

1 Ada Health GmbH , Berlin , DE

2 Muhimbili University of Health and Allied Sciences , Dar es Salaam , TZ

3 Else Kröner Fresenius Center for Digital Health, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden , Dresden , DE

*these authors contributed equally

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