Radiology Partners leverages large language models (LLMs) to monitor and validate AI tool deployment in clinical radiology workflows.
Key Details
- 1LLMs are used to extract findings from narrative radiology reports for analysis.
- 2Extracted data is compared to outputs from vision AI tools for validation and monitoring.
- 3The data supports pre-deployment and post-deployment assessment of AI tools.
- 4LLMs also help curate data for future AI training and evaluation.
- 5Presented by Dr. Walter Wiggins at the RSNA annual meeting.
Why It Matters
Integrating LLMs to track and assess AI tools enhances the safe and effective adoption of AI in radiology. This approach contributes to better QA, transparency, and iterative improvement in clinical imaging AI deployment.
Source
Radiology Business
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