利用人工智能进行移动应用程序原型设计以支持儿童结核病诊断。
Mobile application prototyping using Artificial Intelligence to support childhood tuberculosis diagnosis.
作者信息
Picoli Katerine Souza, Ramos Flávia Regina Souza, Silva Denise Maria Guerreiro Vieira da, Thurner Bruno da Veiga, Sacramento Daniel Souza, Antunes Irineide Assumpção, Andrade Lucas Lorran Costa de, Sicsú Amélia Nunes
机构信息
Universidade do Estado do Amazonas. Manaus, Amazonas, Brazil.
Universidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brazil.
出版信息
Rev Bras Enferm. 2025 Jul 11;78(3):e20240398. doi: 10.1590/0034-7167-2024-0398. eCollection 2025.
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.
目标
开发一款使用人工智能（AI）的移动应用程序原型，以预测和支持儿童肺结核的诊断——儿童结核病（TB Kids）。
方法
基于理性统一过程模型及其四个阶段（构想、细化、构建和过渡）进行原型类型的技术开发研究。儿童结核病（TB Kids）原型的开发于2022年11月至2023年7月进行。
结果
儿童结核病（TB Kids）原型具有风险评估、营养评估、结核菌素皮肤试验、抗生素治疗及接触者调查、通过带有风险图和决策功能的人工智能解读胸部X光片、补充指导以及记录临床情况等功能。
结论
该高保真移动应用程序原型具有一致的界面，以创造性和创新性回应了可持续发展目标3，以及在诊断有患结核病风险的儿童方面缺乏使用人工智能的预测软件的问题。
Zotero 插件