arXiv AI By Ruiyang Hao, Zhi Qin Tan, Yulan He, Owen Addison, Yunpeng Li

EviDent-CBCT: Evidence-Bottlenecked Report Generation from Dental CBCT under Non-Exhaustive Report Supervision

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EviDent-CBCT is a framework that generates dental cone‑beam CT reports from limited clinical data by first extracting a discrete record of tooth‑level, global, and tooth‑IAC evidence using an anatomy‑aware network. The evidence is reconciled through a dental‑logic consistency projection before being rendered into a report by a deterministic renderer and an image‑blind language model. The system achieves higher evidence set‑F1 and logical‑F1 scores than baselines and ranked highly in the ODIN 2026 challenge, demonstrating the effectiveness of a discrete evidence record for auditable CBCT report generation.

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