Tuberculosis Treatment Adherence / TB Treatment Support Tools AI
2025
Periodo: 2025
Investigadores: Javier Roberti, Sara Iribarren, Fernando Rubinstein y otros
Objetivos
Desarrollo de herramientas basadas en inteligencia artificial para apoyo en salud mental a pacientes con tuberculosis.
Tipo de estudio: Varios
Publicación:
- Patient experiences and motivations in tuberculosis treatment: Insights from a digital adherence technology trial. Iribarren S, Roberti J, Aguilar-Vidrio A, Lutz B, Rubinstein F. Indian J Tuberc. 2026 Jul;73(3):418-420. doi: 10.1016/j.ijtb.2026.04.008. Epub 2026 Apr 8.PMID: 42457306
- Enhancing tuberculosis treatment support: A thematic analysis of interactive messages in a digital adherence technology trial to identify needs, challenges, and strategies for improvement. Roberti J, Carmiol-Rodríguez P, Chan-Liang E, Aguilar-Vidrio OA, Suyanto AA, Sprecher J, Rubinstein F, Iribarren S. PLoS One. 2025 Jul 24;20(7):e0326492. doi: 10.1371/journal.pone.0326492. eCollection 2025.PMID: 40705794 Free PMC article. Clinical Trial.
- Evaluation of an AI-Assisted Platform to Support Tuberculosis Care Delivery. Iribarren S, Yuwen W, Filienko D, Jakher H, Nizar M, Vidrio A, Kwanin C, Galdamez D, Roberti J, De Cock M. Stud Health Technol Inform. 2025 Aug 7;329:1550-1552. doi: 10.3233/SHTI251099.PMID: 40776117
- User-Centered Refinement of a Digital Tool for Tuberculosis Treatment Support: Iterative Mixed Methods Study. Iribarren S, Aguilar Vidrio OA, Roberti J, Goodwin K, Chirico C, Telles H, Lutz B, Bornengo F, Rubinstein F. J Med Internet Res. 2025 Jul 30;27:e76742. doi: 10.2196/76742.PMID: 40737522
Financiación: NIH

