dc.creatorBarbieri, Raquel R.
dc.creatorYixi, Xu
dc.creatorSetian, Lucy
dc.creatorSouza-Santos, Paulo Thiago
dc.creatorTrivedi, Anusua
dc.creatorCristofono, Jim
dc.creatorBhering, Ricardo
dc.creatorWhite, Kevin
dc.creatorSales, Anna M.
dc.creatorMiller, Geralyn
dc.creatorNery, José Augusto C.
dc.creatorSharman, Michael
dc.creatorBumann, Richard
dc.creatorShun, Zhang
dc.creatorGoldust, Mohamad
dc.creatorSarno, Euzenir N.
dc.creatorMirza, Fareed
dc.creatorCavaliero, Arielle
dc.creatorTimmer, Sander
dc.creatorBonfiglioli, Elena
dc.creatorSmith, Cairns
dc.creatorScollard, David
dc.creatorNavarini, Alexander A.
dc.creatorAerts, Ann
dc.creatorFerres, Juan Lavista
dc.creatorMoraes, Milton O.
dc.date2022-02-10T18:27:52Z
dc.date2022-02-10T18:27:52Z
dc.date2022
dc.date.accessioned2023-09-27T00:12:12Z
dc.date.available2023-09-27T00:12:12Z
dc.identifierBARBIERI, Raquel R. et al. Reimagining leprosy elimination with AI analysis of a combination of skin lesion images with demographic and clinical data. The Lancet, v. 9, p. 1-9, May 2022.
dc.identifier0140-6736
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/51143
dc.identifier10.1016/j.lana.2022.100192
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8898481
dc.descriptionLeprosy is an infectious disease that mostly affects underserved populations. Although it has been largely eliminated, still about 200’000 new patients are diagnosed annually. In the absence of a diagnostic test, clin- ical diagnosis is often delayed, potentially leading to irreversible neurological damage and its resulting stigma, as well as continued transmission. Accelerating diagnosis could significantly contribute to advancing global leprosy elimination. Digital and Artificial Intelligence (AI) driven technology has shown potential to augment health work- ers abilities in making faster and more accurate diagnosis, especially when using images such as in the fields of der- matology or ophthalmology. That made us start the quest for an AI-driven diagnosis assistant for leprosy, based on skin images.
dc.formatapplication/pdf
dc.languageeng
dc.publisherThe Lancet
dc.rightsopen access
dc.subjectHanseníase
dc.subjectInteligência artificial
dc.subjectAI
dc.subjectDiagnóstico baseado em imagem
dc.subjectDermatologia
dc.subjectLesões de pele
dc.subjectAl4lepra
dc.subjectLeprosy
dc.subjectArtificial intelligence
dc.subjectAI
dc.subjectImage-based diagnosis
dc.subjectDermatology
dc.subjectSkin lesions
dc.subjectAl4leprosy
dc.titleReimagining leprosy elimination with AI analysis of a combination of skin lesion images with demographic and clinical data
dc.typeArticle


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