A Clinician-Centered Pipeline for Annotation and Evaluation in Ultrasound AI Studies
Clinician-centered evaluation is critical for validating medical AI systems, especially in ultrasound imaging where quantitative metrics do not always capture clinical usability. Existing medical image platforms primarily focus on dataset labeling. They lack integrated support for blinded model comparison and reproducible evaluation workflows. We present a clinician-centered pipeline for remote annotation and evaluation in ultrasound AI studies. The proposed pipeline uses a centralized server and lightweight browser interfaces to enable clinicians to perform annotation, blinded ranking, and review without local dataset downloads. The pipeline also supports multi-rater participation, centr...
| Authors | Fangyijie Wang, Jianjun Yu, Wentao Shi et al. |
|---|---|
| Primary category | cs.HC |
| Published | 17 June 2026 |
| Last updated at source | 17 June 2026 |
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