Can AI technologies close the diagnostic gap in tuberculosis?
Lancet Digit Health
.
2021 Sep;3(9):e535-e536.
doi: 10.1016/S2589-7500(21)00142-4.
Authors
Christine Tzelios
1
,
Ruvandhi R Nathavitharana
2
Affiliations
1
Harvard Medical School, Boston, MA, USA.
2
Division of Infectious Diseases, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA. Electronic address: rnathavi@bidmc.harvard.edu.
PMID:
34446263
PMCID:
PMC8686824
DOI:
10.1016/S2589-7500(21)00142-4
No abstract available
Publication types
Comment
MeSH terms
Artificial Intelligence
Humans
Technology
Tuberculosis* / diagnosis
Grants and funding
K23 AI132648/AI/NIAID NIH HHS/United States