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

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
  4. . The NCSBN 2024 Environmental Scan: Every Moment Matters, Realizing Lasting Impact. Journal of Nursing Regulation 2024;14(4):S1 View
  5. Ayo-Farai O, Ogundairo O, Maduka C, Okongwu C, Babarinde A, Sodamade O. Telemedicine in Health Care: A Review of Progress and Challenges in Africa. Matrix Science Pharma 2023;7(4):124 View
  6. Alsanosi S, Padmanabhan S. Potential Applications of Artificial Intelligence (AI) in Managing Polypharmacy in Saudi Arabia: A Narrative Review. Healthcare 2024;12(7):788 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