The value of machine learning inference to predict multidisciplinary discussion diagnosis of interstitial lung diseases.

Mortani Barbosa EJ Jr, Kim Y, Shanahan J, Rupsee A

Open source

DOI
10.1067/j.cpradiol.2026.09.002
Published
2026 Sep 11
Container
Current problems in diagnostic radiology
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1067/j.cpradiol.2026.09.002,
  title = {The value of machine learning inference to predict multidisciplinary discussion diagnosis of interstitial lung diseases.},
  author = {Mortani Barbosa EJ Jr and Kim Y and Shanahan J and Rupsee A},
  year = {2026},
  journal = {Current problems in diagnostic radiology},
  doi = {10.1067/j.cpradiol.2026.09.002},
  url = {https://doi.org/10.1067/j.cpradiol.2026.09.002}
}

RIS

TY  - JOUR
TI  - The value of machine learning inference to predict multidisciplinary discussion diagnosis of interstitial lung diseases.
AU  - Mortani Barbosa EJ Jr
AU  - Kim Y
AU  - Shanahan J
AU  - Rupsee A
PY  - 2026
JO  - Current problems in diagnostic radiology
DO  - 10.1067/j.cpradiol.2026.09.002
UR  - https://doi.org/10.1067/j.cpradiol.2026.09.002
ER  - 

APA

Jr, M. B. E., Y, K., J, S., & A, R. (2026). The value of machine learning inference to predict multidisciplinary discussion diagnosis of interstitial lung diseases.. Current problems in diagnostic radiology. https://doi.org/10.1067/j.cpradiol.2026.09.002

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