Cost-effectiveness of artificial intelligence monitoring for active tuberculosis treatment: A modeling study.

Jonathan SalcedoMonica RosalesJeniffer S KimDaisy NunoSze-Chuan SuenAlicia H Chang

Published in: PloS one (2021)

AiCure for treatment of active TB is cost-effective for patients in LA County, California. Increased use of AI platforms in other jurisdictions could facilitate the CDC's vision of TB elimination.

Keyphrases

artificial intelligence
mycobacterium tuberculosis
machine learning
end stage renal disease
big data
newly diagnosed
deep learning
chronic kidney disease
ejection fraction
prognostic factors
patient reported outcomes
combination therapy
cell proliferation