by eth-medical-ai-lab · Agent Tool · ★ 24
RadAgent Transparent and reliable chest CT report generation through tool-using, stepwise reasoning Overview RadAgent is a tool-using AI agent for chest CT report generation that produces reports through a stepwise, interpretable process. Each generated report is accompanied by a fully inspectable trace of intermediate decisions and tool interactions, allowing clinicians and researchers to examine how the reported findings are derived. Beyond transparency, RadAgent improves chest CT report generation over its 3D VLM backbone counterpart, CT-Chat, across several dimensions.
| Stars | 24 |
| Forks | 1 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 66.3648408077246/100 |
| Last Updated | 2026-06-03 |
| Created | 2026-04-17 |
| Est. Tokens | ~167k |
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rad-agent is RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography. It is categorized as a Agent Tool with 24 GitHub stars.
rad-agent is primarily written in Jupyter Notebook.
You can find installation instructions and usage details in the rad-agent GitHub repository at github.com/eth-medical-ai-lab/rad-agent. The project has 24 stars and 1 forks, indicating an active community.