Tuberculosis control, and the where and why of artificial intelligence

Countries aiming to reduce their tuberculosis (TB) burden by 2035 to the levels envisaged by the World Health Organization End TB Strategy need to innovate, with approaches such as digital health (electronic and mobile health) in support of patient care, surveillance, programme management, training...

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Detalles Bibliográficos
Autores principales: Doshi, Riddhi, Falzon, Dennis, Thomas, Bruce V., Temesgen, Zelalem, Sadasivan, Lal, Migliori, Giovanni Battista, Raviglione, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2017
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5478795/
https://www.ncbi.nlm.nih.gov/pubmed/28656130
http://dx.doi.org/10.1183/23120541.00056-2017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5478795/
https://www.ncbi.nlm.nih.gov/pubmed/28656130
http://dx.doi.org/10.1183/23120541.00056-2017

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