What problem does Burna AI solve?

Manual CTCAE grading takes 15 to 20 minutes per adverse event. Inter-rater agreement on adverse event attribution sits at a kappa of 0.59 to 0.68 (Hong et al., 2020). Attribution change between investigator and central review runs 31 to 36% (Hillman et al., JCO 2010). The FDA-NCI 2019 attribution workshop characterised the current state as sub-optimal, unreliable, and inefficient. Burna AI closes the gap with citation-bound architecture: every grade carries a source sentence, a CTCAE criterion, and per-drug attribution scores from WHO-UMC and Kramer algorithms. Coordinator time drops by at least 70%. Cross-site grading consistency surfaces in real time, not at the next monitoring visit. The clinician reviews and approves; the architecture preserves the audit trail.