Artificial intelligence techniques for the identification and clinical management of long-term Covid cases: a scoping review

• Grant number: 23/11865-4
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: March 01, 2024
• End date: December 31, 2024
• Field of knowledge: Health Sciences - Collective Health - Public Health
• Principal Investigator: Sílvia Carla da Sílva André Uehara
• Grantee: Tatiane Vitória Souza dos Reis
• Host Institution: Centro de Ciências Biológicas e da Saúde (CCBS). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil

Abstract

This study aims to map the scientific literature on artificial intelligence techniques that help in the identification and clinical management of cases of Covid-19. This is a scoping review based on the principles advocated by the Joanna Briggs Institute (JBI). The bibliographical research will be conducted in the following electronic databases: Web of Science and US National Library of Medicine National Institutes of Health PUBMED - NCB, LILACS and SCIELO. The search will be carried out using the terms Covid long; post-covid syndrome; artificial intelligence; identification; clinical management. The scoping review allows a less rigorous assessment of the quality of the articles, so a practical guide developed by JBI will be used for data analysis. This research does not need to be submitted to the Research Ethics Committee (CEP), since it constitutes a review research.