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PreprintAll rights reservedmedRxiv

Accuracy Overstates Evidence Grounding and Abstention Reliability in Mammography Vision-Language Models

  • B. Qu
  • w. Liu
  • M. Murrow
  • M. Burger
  • X. Guo
  • M. S. Vaidya
  • S. L. Rose
  • M. Kantarcioglu
  • B. A. Malin
  • Z. Yin1
  1. 1Vanderbilt University, Vanderbilt University Medical Center
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Cite

BibTeXRIS
BibTeX
@misc{qu2026accuracy,
  title = {{Accuracy Overstates Evidence Grounding and Abstention Reliability in Mammography Vision-Language Models}},
  author = {B. Qu and w. Liu and M. Murrow and M. Burger and X. Guo and M. S. Vaidya and S. L. Rose and M. Kantarcioglu and B. A. Malin and Z. Yin},
  howpublished = {medRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.10.26361944},
  url = {https://www.medrxiv.org/content/10.64898/2026.09.10.26361944v1},
}
RIS
TY  - UNPB
TI  - Accuracy Overstates Evidence Grounding and Abstention Reliability in Mammography Vision-Language Models
AU  - B. Qu
AU  - w. Liu
AU  - M. Murrow
AU  - M. Burger
AU  - X. Guo
AU  - M. S. Vaidya
AU  - S. L. Rose
AU  - M. Kantarcioglu
AU  - B. A. Malin
AU  - Z. Yin
PY  - 2026
DA  - 2026/09/10
PB  - medRxiv
DO  - 10.64898/2026.09.10.26361944
UR  - https://www.medrxiv.org/content/10.64898/2026.09.10.26361944v1
ER  -