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dc.contributor.author
Mantena, Sreekar
dc.contributor.author
Celi, Leo Anthony
dc.contributor.author
Keshavjee, Salmaan
dc.contributor.author
Beratarrechea, Andrea Gabriela
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dc.date.available
2022-08-11T18:38:32Z
dc.date.issued
2021-05
dc.identifier.citation
Mantena, Sreekar; Celi, Leo Anthony; Keshavjee, Salmaan; Beratarrechea, Andrea Gabriela; Improving community health-care screenings with smartphone-based AI technologies; Elsevier; The Lancet Digital Health; 3; 5; 5-2021; 280-282
dc.identifier.uri
http://hdl.handle.net/11336/165283
dc.description.abstract
Non-communicable diseases cause the majority of global disease burden and mortality. However, in both high-income countries and low-income and middle-income countries (LMICs), a substantial number of patients remain unaware that they have these life-threatening conditions. Previous studies have found that approximately half of adult diabetes cases worldwide are undetected, and a considerable proportion of patients with hypertension, lung disease, and other chronic conditions remain undiagnosed. Early screening and diagnosis are crucial to enabling prompt treatment, preventing disease progression, and reducing morbidity and mortality. However, it is challenging to screen patients who might not have access to a physician or who live in rural areas that are a considerable distance from health-care facilities. In Tanzania, more than 80% of citizens will never see a doctor in their lifetime. Even in many high-income countries such as the USA, a high proportion of the population is either uninsured or does not visit a primary care physician on a regular basis.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
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dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
AL TECHNOLOGIES
dc.subject
COMMUNITY HEALTH-CARE SCREENINGS
dc.subject.classification
Otras Ciencias de la Salud
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dc.subject.classification
Ciencias de la Salud
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dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
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dc.title
Improving community health-care screenings with smartphone-based AI technologies
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-08-11T13:11:23Z
dc.identifier.eissn
2589-7500
dc.journal.volume
3
dc.journal.number
5
dc.journal.pagination
280-282
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Mantena, Sreekar. Harvard University; Estados Unidos
dc.description.fil
Fil: Celi, Leo Anthony. Massachusetts Institute of Technology; Estados Unidos. Beth Israel Deaconess Medical Center; Estados Unidos. Harvard University. Harvard School of Public Health; Estados Unidos
dc.description.fil
Fil: Keshavjee, Salmaan. Harvard Medical School; Estados Unidos. Brigham And Women's Hospital; Estados Unidos
dc.description.fil
Fil: Beratarrechea, Andrea Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina
dc.journal.title
The Lancet Digital Health
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2589750021000546
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/S2589-7500(21)00054-6
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