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The perception of health providers about an artificial intelligence applied to Tuberculosis video-based treatment in Brazil: a protocol proposal

2019Journal article Open access
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datacite.subject.fosCiências Médicas::Biotecnologia Médica
datacite.subject.fosCiências Médicas::Ciências da Saúde
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorSantos, Luiz Ricardo Albano dos
dc.contributor.authorBernardi, Filipe Andrade
dc.contributor.authorPrado, Gabriela Cristina Silva
dc.contributor.authorLima, Vinicius Costa
dc.contributor.authorCrepaldi, Nathalia Yukie
dc.contributor.authorMarçal, Matheus Angerami
dc.contributor.authorGalliez, Rafael Mello
dc.contributor.authorRuffino-Netto, Antonio
dc.contributor.authorAlves, Domingos
dc.contributor.authorRijo, Rui, Rui Pedro Charters Lopes
dc.date.accessioned2025-12-18T12:22:07Z
dc.date.available2025-12-18T12:22:07Z
dc.date.issued2019
dc.description.abstractTuberculosis (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 researcheng
dc.description.sponsorshipAcknowledgements I would like to thank the São Paulo Research Foundation (FAPESP) for financial support (Process number 2018/00307-2)
dc.identifier.citationSantos, L. R. A., Bernardi, F. A., Silva Prado, G. C., Lima, V. C., Crepaldi, N. Y., Marçal, M. A., & Rijo, R. P. C. L. (2019). The perception of health providers about an artificial intelligence applied to Tuberculosis video-based treatment in Brazil: A protocol proposal. Procedia Computer Science, 164.https://doi.org/10.1016/j.procs.2019.12.225
dc.identifier.doi10.1016/j.procs.2019.12.225
dc.identifier.issn1877-0509
dc.identifier.urihttp://hdl.handle.net/10400.8/15149
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S1877050919322720?via%3Dihub
dc.relation.ispartofProcedia Computer Science
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectVDOT
dc.subjectTuberculosis
dc.subjectDirectly Observed Therapy
dc.subjectArtificial Intelligence
dc.subjectMedical Informatics
dc.titleThe perception of health providers about an artificial intelligence applied to Tuberculosis video-based treatment in Brazil: a protocol proposaleng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage601
oaire.citation.startPage595
oaire.citation.titleProcedia Computer Science
oaire.citation.volume164
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRijo
person.givenNameRui
person.identifier.orcid0000-0002-9348-0474
person.identifier.scopus-author-id36861366200
relation.isAuthorOfPublicatione69d7599-392c-4f8f-a96a-bf0a0d15c8b1
relation.isAuthorOfPublication.latestForDiscoverye69d7599-392c-4f8f-a96a-bf0a0d15c8b1

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