Honghu Wang

TrustEndo: A Conformal-Calibrated MLLM With Retrieval-Augmented Reasoning for Trustworthy Gastroscopic Diagnosis.

Multimodal Large Language Models (MLLMs) can generate natural language diagnostic descriptions from gastroscopic images, but their clinical use is blocked by two problems: hallucination of plausible-yet-wrong claims, and the lack of statistical guarantees on output reliability. We introduce TrustEndo, a framework that...