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

Journals

  1. Kopka M, Scatturin L, Napierala H, Fürstenau D, Feufel M, Balzer F, Schmieding M. Characteristics of Users and Nonusers of Symptom Checkers in Germany: Cross-Sectional Survey Study. Journal of Medical Internet Research 2023;25:e46231 View
  2. Rieckmann A, Nielsen S, Dworzynski P, Amini H, Mogensen S, Silva I, Chang A, Arah O, Samek W, Rod N, Ekstrøm C, Benn C, Aaby P, Fisker A. Discovering Subgroups of Children With High Mortality in Urban Guinea-Bissau: Exploratory and Validation Cohort Study. JMIR Public Health and Surveillance 2024;10:e48060 View