Qwen2.5-VL-7B vision-language model front end

Intervention

1 paper2 findings

  • In silico1

Outcomes

2

Workflow robustness

upin silico1

1 study
  1. Qwen2.5-VL-7B vision-language model front end improves workflow robustness in silico.

    In silicoacross heterogeneous datasets

    VLM-Assisted Routing and HU-Traceable DICOM Adaptation for Lumbar CT HU Measurement: A Deployment-Oriented Pilot Technical Evaluation

    Journal of imaging14 Aug 2026

HU output availability

upin silico1

1 study
  1. Qwen2.5-VL-7B vision-language model front end increases HU output availability in silico (12/20 versus 5/20).

    In silicoin a 20-case FUJIFILM pilot cohortn = 20

    VLM-Assisted Routing and HU-Traceable DICOM Adaptation for Lumbar CT HU Measurement: A Deployment-Oriented Pilot Technical Evaluation

    Journal of imaging14 Aug 2026

Latest

Nov 2025: 0Dec 2025: 0Jan 2026: 0Feb 2026: 0Mar 2026: 0Apr 2026: 0May 2026: 0Jun 2026: 0Jul 2026: 0Aug 2026: 1Sep 2026: 0Oct 2026: 01 in 12 months