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LLMs enhanced for clinical diagnosis with multi-expert reasoning and knowledge integration

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 3 sources

Researchers have developed MultiDx, a novel two-stage framework designed to enhance diagnostic reasoning in healthcare applications. This system addresses limitations in current Large Language Models (LLMs) by integrating knowledge from multiple sources, including web searches, clinical case databases, and SOAP-formatted cases. MultiDx aims to improve diagnostic accuracy and align reasoning processes with standard clinical trajectories by generating suspected diagnoses and then refining them through evidence integration. AI

Summary written by gemini-2.5-flash-lite from 3 sources. How we write summaries →

IMPACT This framework could improve the reliability and transparency of AI-driven diagnostic tools in healthcare.

RANK_REASON The cluster contains an academic paper detailing a new framework for diagnostic reasoning.

Read on arXiv cs.CL →

COVERAGE [3]

  1. arXiv cs.AI TIER_1 · Shaowei Shen, Xiaohong Yang, Jie Yang, Lianfen Huang, Yongcai Zhang, Yang Zou, Seyyedali Hosseinalipour ·

    RE-MCDF: Closed-Loop Multi-Expert LLM Reasoning for Knowledge-Grounded Clinical Diagnosis

    arXiv:2602.01297v3 Announce Type: replace Abstract: Electronic medical records (EMRs), particularly in neurology, are inherently heterogeneous, sparse, and noisy, which poses significant challenges for large language models (LLMs) in clinical diagnosis. In such settings, single-a…

  2. arXiv cs.CL TIER_1 · Yimin Deng, Zhenxi Lin, Yejing Wang, Guoshuai Zhao, Pengyue Jia, Zichuan Fu, Derong Xu, Yefeng Zheng, Xiangyu Zhao, Li Zhu, Xian Wu, Xueming Qian ·

    MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning

    arXiv:2604.24186v1 Announce Type: new Abstract: Diagnostic prediction and clinical reasoning are critical tasks in healthcare applications. While Large Language Models (LLMs) have shown strong capabilities in commonsense reasoning, they still struggle with diagnostic reasoning du…

  3. arXiv cs.CL TIER_1 · Xueming Qian ·

    MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning

    Diagnostic prediction and clinical reasoning are critical tasks in healthcare applications. While Large Language Models (LLMs) have shown strong capabilities in commonsense reasoning, they still struggle with diagnostic reasoning due to limited domain knowledge. Existing approach…

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