Ramírez Ramírez, HerodesAcosta Aguirre, YaneyaZapata Hernández, DavidFigueroa Iglesias, SuselyMartínez Lozano, PedroCuenca Zaldívar, Juan NicolásSánchez Romero, Eleuterio2026-02-182026-02-182025Ramírez-Ramírez, H., Acosta-Aguirre, Y., Zapata-Hernández, D., Figueroa-Iglesias, S., Martínez-Lozano, P., Cuenca-Zaldívar, J. N., & Sánchez Romero, E. A. (2025). Integration of artificial intelligence in the diagnosis of cervical tuberculous lymphadenitis: A case study. Electronic Journal of General Medicine, 22(6), em693. https://doi.org/10.29333/ejgm/171702516-3507https://hdl.handle.net/11268/16839Cervical tuberculous lymphadenitis (CTL), also known as scrofula, is the most common extrapulmonary form of tuberculosis. This case describes a 3-year-old boy with a persistent cervical mass, without systemic symptoms such as fever or night sweats. Examination reveals a firm, painless lateral lymphadenopathy. Various diagnostic tests are performed—Mantoux, PCR, and fine-needle aspiration biopsy—supplemented by artificial intelligence-assisted imaging analysis.engAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Inteligencia artificialTuberculosis ganglionarDiagnóstico por imagenjournal article10.29333/ejgm/17170open accessCiencias médicasInteligencia artificialMedicina preventivaGoal 3: Ensure healthy lives and promote well-being for all at all ages