ESSLei - Artigos em revistas internacionais
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Percorrer ESSLei - Artigos em revistas internacionais por Domínios Científicos e Tecnológicos (FOS) "Ciências Médicas::Biotecnologia Médica"
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- The perception of health providers about an artificial intelligence applied to Tuberculosis video-based treatment in Brazil: a protocol proposalPublication . Santos, Luiz Ricardo Albano dos; Bernardi, Filipe Andrade; Prado, Gabriela Cristina Silva; Lima, Vinicius Costa; Crepaldi, Nathalia Yukie; Marçal, Matheus Angerami; Galliez, Rafael Mello; Ruffino-Netto, Antonio; Alves, Domingos; Rijo, Rui, Rui Pedro Charters LopesTuberculosis (TB) is an infectious-contagious disease that affects mainly the lungs, ranking in the 10 main causes of death in the world. Non-adherence or non-treatment of TB may prolong transmissibility, increase the risk of drug resistance and lead to patient death. One step forward is the use of smartphones for monitoring the medication intake via video (VDOT). VDOT is a more acceptable and cost-effective option than the traditional DOT (in person). However, the VDOT system requires a professional (verifying agent) to check all medication intake daily. Based on an initiative that aims to replace the verifying agent with an artificial intelligence tool capable of validating it automatically through computer vision techniques (AI-based VDOT), the main goal of this work is to measure the acceptance and perception of Brazilian health professionals on the AI-Based VDOT before implementing this technology by using a quantitative questionnaire as instrument. To achieve this, we have developed a proposal of study protocol that describes the steps to create, apply and validate this research
- Proposal of an integrated decision support system for Tuberculosis based on Semantic WebPublication . Lima, Vinícius; Pellison, Felipe; Bernardi, Filipe; Carvalho, Isabelle; Alves, Domingos; Rijo, Rui, Rui Pedro Charters LopesEpidemiological surveillance of Tuberculosis (TB) requires a strong integration of different health services, programs and levels of care. The deepening and broadening of data management techniques must be constantly carried out to increase the integrality of healthcare. Otherwise, knowledge extraction and clinical and administrative decision-making processes are significantly hampered, directly affecting the management and quality of health services. Thus, this work aims to establish a computerized decision support system capable of collecting, integrating and sharing TB health data in Brazilian Unified Public Health System. Also, it will allow the monitoring of infected patients and the visualization of consolidated information of regular TB and its resistant variants for health professionals and managers. The data will be made available from heterogeneous, disconnected and unstructured sources by combining traditional web services, Semantic Web resources and security algorithms. A solid knowledge base applied to epidemiological surveillance, health information governance and clinical support will be enabled to integrate the multiple areas of TB patients care, as well as to support the creation of more accurate operational and diagnostics models