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July 26, 2025Journal of Global HealthOpen Access

Artificial intelligence for tuberculosis control: a scoping review of applications in public health

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Authors

SMSonia MenonKKKobto G. Koura

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Overview

Scoping review reveals AI's role in diagnosing tuberculosis and enhancing public health surveillance for effective control.

Key Points

  • AI applications can enhance diagnosis and management of tuberculosis, especially in low-resource settings.
  • Review identified 34 studies focusing on AI's role in active case finding and differentiating TB infections.
  • AI's accuracy allows for improved detection of pulmonary diseases, including MDR and XDR tuberculosis.
  • Hotspot mapping through AI may identify undiagnosed TB cases effectively, addressing public health challenges.

Cite This Study

Menon et al. (2025) studied this question.

synapsesocial.com/papers/689a0933e6551bb0af8ce53ahttps://doi.org/10.7189/jogh.15.04192
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial Intelligence in Infectious Disease Detection and Control: A Systematic Literature Review of Advancements, Challenges, and Future Directions2025
  2. 2Exploring the role of artificial intelligence toward management of HIV and TB co-infection in Nigeria: a comprehensive narrative review2025
  3. 3Diagnostic Accuracy of Artificial Intelligence-assisted Chest X-ray Interpretation Tools for Screening of Tuberculosis: A Systematic Review and Meta-analysis2025
  4. 4Harnessing Artificial Intelligence for Public Health Surveillance in Africa: Current Applications, Challenges, and Opportunities: A Scoping Review2025
  5. 5The Development and Evaluation of AI-based Tuberculosis Screening with a Digital Stethoscope used to Capture Lung Sounds. A Case-Control Study.2025