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 https://github.com/zhaozh10/ChatCAD. The online demo will be available soon.

翻译：将计算机辅助诊断与大语言模型在临床应用中整合的潜力，尤其在数字家庭医生和门诊助理角色方面，展现出广阔前景。然而，现有工作存在可靠性不足、有效性有限，以及仅适用于特定图像领域等局限性，这制约了其整体处理能力。此外，大语言模型与放射科医生的写作风格不匹配也削弱了其实用价值。为应对这些挑战，我们提出ChatCAD+，一个通用、可靠且能处理多领域医学图像的交互式计算机辅助诊断系统。ChatCAD+利用从权威医学网站获取的最新信息提供精准医疗建议。此外，它集成了模拟真实诊断报告的模板检索系统，从而提升其与现有临床工作流程的无缝整合能力。源代码已发布在https://github.com/zhaozh10/ChatCAD，在线演示即将上线。