Machine learning in radiology: the new frontier in interstitial lung diseases.
- DOI
- 10.1016/s2589-7500(22)00230-8
- Published
- 2022-12-12
- Container
- Lancet Digit Health
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/s2589-7500-22-00230-8,
title = {Machine learning in radiology: the new frontier in interstitial lung diseases.},
author = {Barnes H and Humphries SM and George PM and Assayag D and Glaspole I and Mackintosh JA and Corte TJ and Glassberg M and Johannson KA and Calandriello L and Felder F and Wells A and Walsh S.},
year = {2023},
journal = {Lancet Digit Health},
doi = {10.1016/s2589-7500(22)00230-8},
url = {https://doi.org/10.1016/s2589-7500(22)00230-8}
}RIS
TY - JOUR TI - Machine learning in radiology: the new frontier in interstitial lung diseases. AU - Barnes H AU - Humphries SM AU - George PM AU - Assayag D AU - Glaspole I AU - Mackintosh JA AU - Corte TJ AU - Glassberg M AU - Johannson KA AU - Calandriello L AU - Felder F AU - Wells A AU - Walsh S. PY - 2023 JO - Lancet Digit Health DO - 10.1016/s2589-7500(22)00230-8 UR - https://doi.org/10.1016/s2589-7500(22)00230-8 ER -
APA
H, B., SM, H., PM, G., D, A., I, G., JA, M., TJ, C., M, G., KA, J., L, C., F, F., A, W., & S., W. (2023). Machine learning in radiology: the new frontier in interstitial lung diseases.. Lancet Digit Health. https://doi.org/10.1016/s2589-7500(22)00230-8
Source records
- europe-pmc · retrieved 2026-09-26T21:23:58.492Z