Impact of a deep learning-based computer-aided detection system (BMAX) on CT findings and clinical parameters in screening-detected interstitial lung abnormalities: a cross-sectional study.

Furukawa T, Akaike K, Ichiyasu H, Masuda Y, Okabayashi H, Hamada S, Masunaga A, Kawamura K, Iyonaga K, Johkoh T, Fujimoto K, Ichikado K, Sakagami T

Open source

DOI
10.21037/jtd-2026-1912
Published
2026 Oct 30
Container
Journal of thoracic disease
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.21037/jtd-2026-1912,
  title = {Impact of a deep learning-based computer-aided detection system (BMAX) on CT findings and clinical parameters in screening-detected interstitial lung abnormalities: a cross-sectional study.},
  author = {Furukawa T and Akaike K and Ichiyasu H and Masuda Y and Okabayashi H and Hamada S and Masunaga A and Kawamura K and Iyonaga K and Johkoh T and Fujimoto K and Ichikado K and Sakagami T},
  year = {2026},
  journal = {Journal of thoracic disease},
  doi = {10.21037/jtd-2026-1912},
  url = {https://doi.org/10.21037/jtd-2026-1912}
}

RIS

TY  - JOUR
TI  - Impact of a deep learning-based computer-aided detection system (BMAX) on CT findings and clinical parameters in screening-detected interstitial lung abnormalities: a cross-sectional study.
AU  - Furukawa T
AU  - Akaike K
AU  - Ichiyasu H
AU  - Masuda Y
AU  - Okabayashi H
AU  - Hamada S
AU  - Masunaga A
AU  - Kawamura K
AU  - Iyonaga K
AU  - Johkoh T
AU  - Fujimoto K
AU  - Ichikado K
AU  - Sakagami T
PY  - 2026
JO  - Journal of thoracic disease
DO  - 10.21037/jtd-2026-1912
UR  - https://doi.org/10.21037/jtd-2026-1912
ER  - 

APA

T, F., K, A., H, I., Y, M., H, O., S, H., A, M., K, K., K, I., T, J., K, F., K, I., & T, S. (2026). Impact of a deep learning-based computer-aided detection system (BMAX) on CT findings and clinical parameters in screening-detected interstitial lung abnormalities: a cross-sectional study.. Journal of thoracic disease. https://doi.org/10.21037/jtd-2026-1912

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