The potential of integrating Computer-Assisted Diagnosis (CAD) with Large
Language Models (LLMs) in clinical applications, particularly in digital family
doctor and clinic assistant roles, shows promise. However, existing works have
limitations in terms of reliability, effectiveness, and their narrow
applicability to specific image domains, which restricts their overall
processing capabilities. Moreover, the mismatch in writing style between LLMs
and radiologists undermines their practical utility. To address these
challenges, we present ChatCAD+, an interactive CAD system that is universal,
reliable, and capable of handling medical images from diverse domains. ChatCAD+
utilizes current information obtained from reputable medical websites to offer
precise medical advice. Additionally, it incorporates a template retrieval
system that emulates real-world diagnostic reporting, thereby improving its
seamless integration into existing clinical workflows. The source code is
available at \href{this https URL}{GitHub}. The online
demo will be available soon.

ChatCAD + 使用现有信息提供精准的医学建议，包含模板检索系统以仿真真实诊断记录，以改善其无缝整合已有临床流程的能力。