RT Journal Article
SR Electronic
T1 Tuberculosis control, and the where and why of artificial intelligence
JF ERJ Open Research
JO erjor
FD European Respiratory Society
SP 00056-2017
DO 10.1183/23120541.00056-2017
VO 3
IS 2
A1 Riddhi Doshi
A1 Dennis Falzon
A1 Bruce V. Thomas
A1 Zelalem Temesgen
A1 Lal Sadasivan
A1 Giovanni Battista Migliori
A1 Mario Raviglione
YR 2017
UL http://openres.ersjournals.com/content/3/2/00056-2017.abstract
AB 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 and communication. Alongside the large-scale roll-out required for such interventions to make a significant impact, products must stay abreast of advancing technology over time. The integration of artificial intelligence into new software promises to make processes more effective and efficient, endowing them with a potential hitherto unimaginable. Users can benefit from artificial intelligence-enabled pattern recognition software for tasks ranging from reading radiographs to adverse event monitoring, sifting through vast datasets to personalise a patient's care plan or to customise training materials. Many experts forecast the imminent transformation of the delivery of healthcare services. We discuss how artificial intelligence and machine learning could revolutionise the management of TB.Tuberculosis control, and the where and why of artificial intelligence http://ow.ly/GwuY30bCXkJ