Tuberculosis Disease Severity Assessment Using Clinical Variables and Radiology Enabled by Artificial Intelligence.

Ghanem M, Srivastava R, Ektefaie Y, Hoppes D, Rosenfeld G, Yaniv Z, Grinev A, Xu AY, Yang E, Velásquez GE, Harrison L, Rosenthal A, Savic RM, Jacobson KR, Farhat MR

Open source

DOI: 10.1093/infdis/jiag149
Published: 2026 Sep 23
Container: The Journal of infectious diseases
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/infdis/jiag149,
  title = {Tuberculosis Disease Severity Assessment Using Clinical Variables and Radiology Enabled by Artificial Intelligence.},
  author = {Ghanem M and Srivastava R and Ektefaie Y and Hoppes D and Rosenfeld G and Yaniv Z and Grinev A and Xu AY and Yang E and Velásquez GE and Harrison L and Rosenthal A and Savic RM and Jacobson KR and Farhat MR},
  year = {2026},
  journal = {The Journal of infectious diseases},
  doi = {10.1093/infdis/jiag149},
  url = {https://doi.org/10.1093/infdis/jiag149}
}

RIS

TY  - JOUR
TI  - Tuberculosis Disease Severity Assessment Using Clinical Variables and Radiology Enabled by Artificial Intelligence.
AU  - Ghanem M
AU  - Srivastava R
AU  - Ektefaie Y
AU  - Hoppes D
AU  - Rosenfeld G
AU  - Yaniv Z
AU  - Grinev A
AU  - Xu AY
AU  - Yang E
AU  - Velásquez GE
AU  - Harrison L
AU  - Rosenthal A
AU  - Savic RM
AU  - Jacobson KR
AU  - Farhat MR
PY  - 2026
JO  - The Journal of infectious diseases
DO  - 10.1093/infdis/jiag149
UR  - https://doi.org/10.1093/infdis/jiag149
ER  -

APA

M, G., R, S., Y, E., D, H., G, R., Z, Y., A, G., AY, X., E, Y., GE, V., L, H., A, R., RM, S., KR, J., & MR, F. (2026). Tuberculosis Disease Severity Assessment Using Clinical Variables and Radiology Enabled by Artificial Intelligence.. The Journal of infectious diseases. https://doi.org/10.1093/infdis/jiag149

Source records

pubmed · retrieved 2026-09-26T20:04:50.355Z