Transforming adnexal mass assessment: how large language model improve ovarian-adnexal reporting and data system interpretation and sonographer performance.
- DOI
- 10.1007/s00261-026-05498-x
- Published
- 2026 Oct
- Container
- Abdominal radiology (New York)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00261-026-05498-x,
title = {Transforming adnexal mass assessment: how large language model improve ovarian-adnexal reporting and data system interpretation and sonographer performance.},
author = {Sun Y and Shen H and Zhang L and Jiang Y and Zheng Q and Du L and He M and Wu L and Xie H},
year = {2026},
journal = {Abdominal radiology (New York)},
doi = {10.1007/s00261-026-05498-x},
url = {https://doi.org/10.1007/s00261-026-05498-x}
}RIS
TY - JOUR TI - Transforming adnexal mass assessment: how large language model improve ovarian-adnexal reporting and data system interpretation and sonographer performance. AU - Sun Y AU - Shen H AU - Zhang L AU - Jiang Y AU - Zheng Q AU - Du L AU - He M AU - Wu L AU - Xie H PY - 2026 JO - Abdominal radiology (New York) DO - 10.1007/s00261-026-05498-x UR - https://doi.org/10.1007/s00261-026-05498-x ER -
APA
Y, S., H, S., L, Z., Y, J., Q, Z., L, D., M, H., L, W., & H, X. (2026). Transforming adnexal mass assessment: how large language model improve ovarian-adnexal reporting and data system interpretation and sonographer performance.. Abdominal radiology (New York). https://doi.org/10.1007/s00261-026-05498-x
Source records
- pubmed · retrieved 2026-09-25T07:07:56.255Z