Two. Burna AI has filed two patents on its cascading constraint pipeline for adverse event grading and attribution: the architecture in which twelve specialized agents each bound what the next may conclude, and every grade carries its citation. Both are pending.
More on ai architecture.
- How is Burna AI's grading engine built?
- Why does Burna AI use twelve agents instead of one model?
- What does it mean that Burna AI is citation-bound by design?
- Can a general-purpose LLM grade CTCAE adverse events the way Burna AI does?
- What language models does Burna AI use?
- How does Burna AI prevent AI hallucinations in adverse event grading?