On February 24, Tencent Health announced that it would fully connect to the DeepSeek big model through Tencent Cloud, and "dual-core team" with Tencent's self-developed Hunyuan big model to comprehensively upgrade medical services. This upgrade covers multiple scenarios such as intelligent diagnosis, pre-diagnosis, health Q&A, intelligent medication, self-examination of symptoms, image report interpretation and quality control, and aims to help more than 1,000 hospitals across the country quickly improve their intelligent application level. At the same time, Tencent Health also provides multi-model deployment and application solutions for medical institutions, physical examination centers, pharmaceutical and device companies and gene sequencing companies to further promote the digital transformation of the medical industry.
This upgrade revolves around the entire process of medical treatment. From pre-diagnosis health questions and answers, self-examination of symptoms and intelligent guidance, to intelligent pre-diagnosis during diagnosis, to post-diagnosis report interpretation and intelligent medication use, Tencent Health is gradually switching services to the "multi-model" mode. Through AI assistants, hospitals can provide patients with personalized medical treatment plans and health management, and at the same time provide decision-making support for doctors, including medical history collection, disease prediction, diagnosis and treatment plan recommendation and drug safety monitoring. This not only improves the medical experience of patients, but also improves the diagnostic efficiency and quality of medical services of doctors, bringing new intelligent solutions to the medical industry.

In the field of medical imaging, "Xiaomi AI Assistant" can quickly analyze image reports, automatically retrieve historical reports and compare disease changes. It can also recommend relevant examinations and interpret the meaning of the report based on the diagnosis conclusions, and support typos detection and one-click correction, which significantly improves the doctor's report writing efficiency. The application of this technology not only reduces the work burden of doctors, but also improves the accuracy and efficiency of imaging diagnosis, providing patients with more accurate medical services.
In addition, Tencent Health is also promoting the "dual-mode" combination of DeepSeek and Hunyuan in the fields of genomics and drug and equipment digitalization. The AI assistant of the Omics Platform deeply integrates the bioinformatics analysis workflow development framework and platform knowledge base to provide full-process intelligent assistance for bioinformatics analysis; while NGES creates an AI solution for pharmaceutical and equipment companies that integrates intelligent question-and-answer, knowledge management, and real-time information acquisition to help enterprises transform digitally. The application of these technologies not only promotes the development of the genomics and pharmaceutical and equipment industries, but also provides more intelligent solutions for related companies.
In order to meet the needs of different institutions, Tencent Health provides public network SaaS, API PaaS and multi-size privatized deployment modes through Tencent Cloud API, big model knowledge engine call, TI-ONE platform deployment and other methods, and flexibly adapts to multiple servers and operating environments. At the same time, Tencent Health also conducts in-depth customization according to the specific needs of the organization, builds a medical professional knowledge base through RAG technology, and connects to DeepSeek and Hunyuan dual-base large models. Tencent Health itself uses more than 100 billion medical tokens to train exclusive medical models, combines the medical knowledge graph of 98% of diseases for retrieval enhancement, reduces the risk of generating false information, and introduces a reward mechanism based on feedback enhancement to make the model reply more professional and closer to patient needs. These measures not only improve the intelligence level of medical services, but also provide medical institutions with more flexible and customized solutions.