Open-access Mobile application prototyping using Artificial Intelligence to support childhood tuberculosis diagnosis

Prototipado de una aplicación móvil utilizando Inteligencia Artificial para apoyar el diagnóstico de tuberculosis infantil

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.

Descriptors:
Mobile Applications; Artificial Intelligence; Tuberculosis, Pulmonary; Child; Diagnosis

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E-mail: reben@abennacional.org.br
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