Background Traditional medical services rely on face-to-face communication and written medical record documentation, affecting the efficiency of diagnosis and treatment. With the development of AI technology, especially the advancement of large language models, possibilities for transformation in the healthcare industry are provided. Objective This article aims to develop an intelligent consultation assistant to improve the quality and efficiency of medical services while offering personalized diagnostic and therapeutic experiences. Methods An intelligent consultation system was built based on comprehensive large language models, digital human technology, and 3D visualization technology, including patient, server, and doctor interfaces. The output plans are continuously fine-tuned through feedback confirmed by doctors. Results The patient interface uses a virtual doctor image to engage in natural language communication with patients, collecting symptoms and medical history. The server side employs a language model specialized in the medical field to analyze data and provide preliminary diagnoses in conjunction with a knowledge base. The doctor interface displays medical conditions through a 3D human model, assisting doctors in quickly understanding and formulating treatment plans. This system not only improves the efficiency of information collection and processing but also enhances the speed of diagnosis through 3D visualization technology. Furthermore, the application of large language models allows for more precise understanding of conditions, supporting personalized medical services. Conclusion　The intelligent consultation assistant not only alleviates the workload of doctors but also provides patients with a more convenient service experience. By integrating various AI technologies, the quality and efficiency of medical services can be significantly enhanced.