How is Burna AI different from generic clinical AI vendors?

Three architectural differences. Specificity: Burna AI grades CTCAE adverse events and scores multi-drug attribution; it does not attempt general clinical decision support, diagnosis, or dose modification. Transparency: every grade is citation-bound to source text and CTCAE criterion by architecture, not by transparency feature; the math behind WHO-UMC and Kramer attribution is visible. Discipline: the engine cannot produce a grade outside the CTCAE set, cannot skip citation, and cannot contradict its own upstream findings, so the failure modes that affect generic LLM wrappers do not apply.