Evaluation of an AI-Assisted Platform to Support Tuberculosis Care Delivery

Sarah Iribarren; Weichao Yuwen; Daniil Filienko; Haroon Jakher; Mahek Nizar; Alfie Vidrio; Charles Kwanin; Denise Galdamez; Javier Roberti; Martine De Cock

doi:10.3233/shti251099

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Evaluation of an AI-Assisted Platform to Support Tuberculosis Care Delivery

Charles Kwanin·Sarah Iribarren·Weichao Yuwen·Daniil Filienko·Haroon Jakher·Mahek Nizar·Alfie Vidrio·Charles Kwanin·Denise Galdamez·Javier Roberti·Martine De Cock

Studies in Health Technology and InformaticsAugust 7, 2025DOI: 10.3233/shti251099

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Abstract

The Tuberculosis Treatment Support Tools (TB-TST) will integrate a Spanish-language AI-powered virtual assistant to enhance TB care. Leveraging Large Language Models for real-time, empathetic, and clinically relevant support, the system aims to improve treatment adherence, expand scalability, and increase access to care while ensuring privacy, linguistic, and cultural relevance.

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Iribarren, S., Yuwen, W., Filienko, D., Jakher, H., Nizar, M., Vidrio, A., Kwanin, C., Galdamez, D., Roberti, J., & Cock, M. (2025). Evaluation of an AI-Assisted Platform to Support Tuberculosis Care Delivery. Studies in Health Technology and Informatics. https://doi.org/10.3233/shti251099

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Evaluation of an AI-Assisted Platform to Support Tuberculosis Care Delivery

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