Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40167, first published .
Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: Algorithm Development and Validation

Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: Algorithm Development and Validation

Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: Algorithm Development and Validation

Juliet Nabbuye Sekandi   1, 2 , MD, MSc, DrPH ;   Weili Shi   3 , MSc ;   Ronghang Zhu   4 , MSc ;   Patrick Kaggwa   5 , BSc ;   Ernest Mwebaze   6, 7 , BSc, MSc, PhD ;   Sheng Li   3 , PhD

1 Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, United States

2 Global Health Institute, College of Public Health, University of Georgia, Athens, GA, United States

3 School of Data Science, University of Virginia, Charlottesville, VA, United States

4 School of Computing, College of Engineering & Franklin College of Arts and Sciences, University of Georgia, Athens, GA, United States

5 Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda

6 Sunbird AI, Kampala, Uganda

7 Artificial Intelligence Research Lab, College of Computing and Information Science, Makerere University, Kampala, Uganda

Corresponding Author:

  • Juliet Nabbuye Sekandi, MD, MSc, DrPH
  • Global Health Institute
  • College of Public Health
  • University of Georgia
  • 100 Foster Road
  • Athens, GA, 30602
  • United States
  • Phone: 1 706 542-5257
  • Email: jsekandi@uga.edu