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

Foundations of AI (57) Artificial Intelligence (1996) Theoretical Innovations in AI (6)

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 Sekandi1, 2 Author Orcid Image ;   Weili Shi3 Author Orcid Image ;   Ronghang Zhu4 Author Orcid Image ;   Patrick Kaggwa5 Author Orcid Image ;   Ernest Mwebaze6, 7 Author Orcid Image ;   Sheng Li3 Author Orcid Image
Article Authors Cited by (17) Tweetations (8) Metrics

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  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
  7. Bashkirova L, Kit I, Havryshchuk Y, Krasnova A, Vasylyuk-Zaitseva S. Artificial Intelligence in Medicine: from Diagnosis to Treatment. Futurity Medicine 2024;3(3) View
  8. Zary M, Mohamed M, Kafie C, Chilala C, Bahukudumbi S, Foster N, Gore G, Fielding K, Subbaraman R, Schwartzman K. The performance of digital technologies for measuring tuberculosis medication adherence: a systematic review. BMJ Global Health 2024;9(7):e015633 View
  9. Blaß M, Gimpel H, Karnebogen P. A Taxonomy and Archetypes of AI-Based Health Care Services: Qualitative Study. Journal of Medical Internet Research 2024;26:e53986 View
  10. Bhatt A, Sengupta S, Abolhassani A, Brower D, Forehand C, Keats K, Kwon Y, Healy W. Awakening Sleep Medicine: The Transformative Role of Artificial Intelligence in Sleep Health. Current Sleep Medicine Reports 2025;11(1) View
  11. Memon S, Bibi S, He G. Integration of AI and ML in Tuberculosis (TB) Management: From Diagnosis to Drug Discovery. Diseases 2025;13(6):184 View
  12. Alatawi Y, Amirthalingam P, Chellamani N, Shanmuganathan M, Ali M, Alqifari S, Mani V, Dhanasekaran M, Alqahtani A, Aljabri A. Smart wearable sensor-based model for monitoring medication adherence using sheep flock optimization algorithm-attention-based bidirectional long short-term memory (SFOA-Bi-LSTM). DIGITAL HEALTH 2025;11 View
  13. Roberti J, Morelli D, Aguilar-Vidrio O, Suyanto A, Carmiol-Rodriguez P, Tolentino A, Chen-Liang E, Sprecher J, Rubinstein F, Iribarren S. Improving tuberculosis treatment adherence: a qualitative study of patients’ perspectives from a pragmatic trial of the tuberculosis treatment support tools intervention. BMJ Open 2025;15(9):e095878 View

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