ArticleRevista brasileira de enfermagem2025
Mobile application prototyping using Artificial Intelligence to support childhood tuberculosis diagnosis.
Article in Revista brasileira de enfermagem, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
8 authors.
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Abstract
objectivesto develop a mobile application prototype using Artificial Intelligence (AI) to predict and support the diagnosis of pulmonary tuberculosis in children - TB Kids.
methodstechnological development research of the prototyping type, based on the Rational Unified Process model and its four stages: conception, elaboration, construction and transition. The development of the TB Kids prototype took place from November 2022 to July 2023.
resultsthe TB Kids prototype has features for risk assessment, nutritional assessment, tuberculin skin test, investigation of antibiotic therapy and contacts, interpretation of chest X-rays through AI with risk graph and decision-making, complementary guidance and recording of the clinical picture.
conclusionsthe high-fidelity mobile application prototype has a consistent interface, responding with creativity and innovation to Sustainable Development Goal 3 and the lack of prediction software using AI in the diagnosis of children at risk for tuberculosis.
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Registered trials
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