Mobile application prototyping using Artificial Intelligence to support childhood tuberculosis diagnosis
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.
Authors
- Bruno da Veiga Thurner
- Daniel Souza Sacramento (ORCID: https://orcid.org/0000-0002-8782-1949)
- Irineide Assumpção Antunes
- Denise Maria Guerreiro Vieira da Silva (ORCID: https://orcid.org/0000-0003-2139-083X)
- Flávia Regina Souza Ramos (ORCID: https://orcid.org/0000-0002-0077-2292)
- Lucas Lorran Costa de Andrade
- Amélia Nunes Sicsú (ORCID: https://orcid.org/0000-0001-5217-3710)
- Katerine Souza Picoli (ORCID: https://orcid.org/0000-0002-2165-2230)
Institutions
- Universidade do Estado de Santa Catarina (BR)
- Universidade Federal de Santa Maria (BR)
- Universidade Federal de Santa Catarina (BR)
- Secretaria da Saúde (BR)
- Universidade do Estado do Amazonas (BR)
- Secretaria Municipal de Saúde (BR)
- Universidade Federal do Amazonas (BR)
Publication Details
- Journal
- Revista Brasileira de Enfermagem
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1590/0034-7167-2024-0398
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00