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

Theoretical Innovations in AI (3) Artificial Intelligence (922) Machine Learning (1194) Clinical Information and Decision Making (1125) Decision Support for Health Professionals (930)

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

Authors of this article:

Juliet Nabbuye Sekandi 1, 2 Author Orcid Image ;   Weili Shi 3 Author Orcid Image ;   Ronghang Zhu 4 Author Orcid Image ;   Patrick Kaggwa 5 Author Orcid Image ;   Ernest Mwebaze 6, 7 Author Orcid Image ;   Sheng Li 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (6) Metrics

Journals

  1. Dohál M, Porvazník I, Solovič I, Mokrý J. Advancing tuberculosis management: the role of predictive, preventive, and personalized medicine. Frontiers in Microbiology 2023;14 View
  2. Kuroiwa T, Sarcon A, Ibara T, Yamada E, Yamamoto A, Tsukamoto K, Fujita K. The Potential of ChatGPT as a Self-Diagnostic Tool in Common Orthopedic Diseases: Exploratory Study. Journal of Medical Internet Research 2023;25:e47621 View
  3. Tayal D, Sethi P, Jain P. Point-of-care test for tuberculosis - a boon in diagnosis. Monaldi Archives for Chest Disease 2023 View

Books/Policy Documents

  1. Fielding K, Subbaraman R, Khan A, Celan C, Charalambous S, Franke M, Huddart S, Katamba A, Law S, Stagg H. Digital Respiratory Healthcare. View