Artificial intelligence-based multimodal integration of ultrasound and digital breast tomosynthesis for breast-level risk classification.

Tan Y, Huang Z, Li J, Zhong Y, Yao Q, Chen R, Yu Y, Yang Y, Yao H

DOI: 10.1093/pcmedi/pbag023
Published: 2026 Sep
Container: Precision clinical medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/pcmedi/pbag023,
  title = {Artificial intelligence-based multimodal integration of ultrasound and digital breast tomosynthesis for breast-level risk classification.},
  author = {Tan Y and Huang Z and Li J and Zhong Y and Yao Q and Chen R and Yu Y and Yang Y and Yao H},
  year = {2026},
  journal = {Precision clinical medicine},
  doi = {10.1093/pcmedi/pbag023},
  url = {https://doi.org/10.1093/pcmedi/pbag023}
}

RIS

TY  - JOUR
TI  - Artificial intelligence-based multimodal integration of ultrasound and digital breast tomosynthesis for breast-level risk classification.
AU  - Tan Y
AU  - Huang Z
AU  - Li J
AU  - Zhong Y
AU  - Yao Q
AU  - Chen R
AU  - Yu Y
AU  - Yang Y
AU  - Yao H
PY  - 2026
JO  - Precision clinical medicine
DO  - 10.1093/pcmedi/pbag023
UR  - https://doi.org/10.1093/pcmedi/pbag023
ER  -

APA

Y, T., Z, H., J, L., Y, Z., Q, Y., R, C., Y, Y., Y, Y., & H, Y. (2026). Artificial intelligence-based multimodal integration of ultrasound and digital breast tomosynthesis for breast-level risk classification.. Precision clinical medicine. https://doi.org/10.1093/pcmedi/pbag023

Source records

pubmed · retrieved 2026-09-25T19:46:48.999Z
europe-pmc · retrieved 2026-09-25T19:46:49.015Z