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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Bibliographic Details
Main Authors: Riddhi Doshi, Dennis Falzon, Bruce V. Thomas, Zelalem Temesgen, Lal Sadasivan, Giovanni Battista Migliori, Mario Raviglione
Format: Article
Language:English
Published: European Respiratory Society 2017-06-01
Series:ERJ Open Research
Online Access:http://openres.ersjournals.com/content/3/2/00056-2017.full