Mobile application prototyping using Artificial Intelligence to support childhood tuberculosis diagnosis
ABSTRACT Objectives: to develop a mobile application prototype using Artificial Intelligence (AI) to predict and support the diagnosis of pulmonary tuberculosis in children – TB Kids. Methods: technological development research of the prototyping type, based on the Rational Unified Process model a...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Associação Brasileira de Enfermagem
2025-07-01
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| Series: | Revista Brasileira de Enfermagem |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672025000300156&lng=en&tlng=en |
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| Summary: | ABSTRACT Objectives: to develop a mobile application prototype using Artificial Intelligence (AI) to predict and support the diagnosis of pulmonary tuberculosis in children – TB Kids. Methods: technological 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. Results: the 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. Conclusions: the 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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| ISSN: | 1984-0446 |