YalaLab/rate
A Python-based engine for processing radiology reports using the Qwen3 model with sglang for efficient batch inference. Includes quality control file generation and performance evaluation tools for comprehensive validation workflows with debug mode for faster iteration.
This tool helps radiologists and clinical researchers efficiently process large volumes of radiology reports. It takes raw radiology reports in a CSV file and extracts key information such as findings, categorized data, and answers to specific questions about the report content. The output is structured data that can be used for analysis or quality control.
Use this if you need to systematically extract and categorize clinical findings and other specific information from a large collection of radiology reports.
Not ideal if you need real-time analysis of individual reports or are not working with large batches of textual radiology data.
Stars
12
Forks
2
Language
Python
License
—
Category
Last pushed
Nov 20, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/YalaLab/rate"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.