MedCEG: Reinforcing Verifiable Medical Reasoning with Critical Evidence Graph
By: Linjie Mu, Yannian Gu, Zhongzhen Huang, Yakun Zhu, Shaoting Zhang, Xiaofan Zhang
Published: 2025-12-16
View on arXiv →#cs.AI
Abstract
Introduces MedCEG, a novel framework using critical evidence graphs to enhance the verifiability and reliability of AI-driven medical reasoning, crucial for clinical decision support. This work significantly contributes to building trust in AI systems within healthcare by providing transparent and verifiable reasoning processes for diagnostic and treatment recommendations.