Mobile application prototyping using Artificial Intelligence to support childhood tuberculosis diagnosis

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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Bibliographic Details
Main Authors: Katerine Souza Picoli, Flávia Regina Souza Ramos, Denise Maria Guerreiro Vieira da Silva, Bruno da Veiga Thurner, Daniel Souza Sacramento, Irineide Assumpção Antunes, Lucas Lorran Costa de Andrade, Amélia Nunes Sicsú
Format: Article
Language:English
Published: Associação Brasileira de Enfermagem 2025-07-01
Series:Revista Brasileira de Enfermagem
Subjects:
Mobile Applications
Artificial Intelligence
Tuberculosis, Pulmonary
Child
Diagnosis
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672025000300156&lng=en&tlng=en
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