Ultrasound-based Detection and Malignancy Prediction of Breast Lesions Eligible for Biopsy: A Multi-center Clinical-scenario Study Using Nomograms, Large Language Models, and Radiologist Evaluation.
- DOI
- 10.1016/j.acra.2026.03.009
- Published
- 2026 Jul
- Container
- Academic radiology
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.acra.2026.03.009,
title = {Ultrasound-based Detection and Malignancy Prediction of Breast Lesions Eligible for Biopsy: A Multi-center Clinical-scenario Study Using Nomograms, Large Language Models, and Radiologist Evaluation.},
author = {Abbasian Ardakani A and Mohammadi A and Kuzan TY and Kuzan BN and Khorshidi H and Ghorbani A and Mohebbi A and Faeghi F and Hatamikia S and Acharya UR},
year = {2026},
journal = {Academic radiology},
doi = {10.1016/j.acra.2026.03.009},
url = {https://doi.org/10.1016/j.acra.2026.03.009}
}RIS
TY - JOUR TI - Ultrasound-based Detection and Malignancy Prediction of Breast Lesions Eligible for Biopsy: A Multi-center Clinical-scenario Study Using Nomograms, Large Language Models, and Radiologist Evaluation. AU - Abbasian Ardakani A AU - Mohammadi A AU - Kuzan TY AU - Kuzan BN AU - Khorshidi H AU - Ghorbani A AU - Mohebbi A AU - Faeghi F AU - Hatamikia S AU - Acharya UR PY - 2026 JO - Academic radiology DO - 10.1016/j.acra.2026.03.009 UR - https://doi.org/10.1016/j.acra.2026.03.009 ER -
APA
A, A. A., A, M., TY, K., BN, K., H, K., A, G., A, M., F, F., S, H., & UR, A. (2026). Ultrasound-based Detection and Malignancy Prediction of Breast Lesions Eligible for Biopsy: A Multi-center Clinical-scenario Study Using Nomograms, Large Language Models, and Radiologist Evaluation.. Academic radiology. https://doi.org/10.1016/j.acra.2026.03.009
Source records
- pubmed · retrieved 2026-11-10T11:35:08.363Z
- europe-pmc · retrieved 2026-11-10T11:35:08.373Z