Tencent Health Upgrades Healthcare Experience with DeepSeek and HunYuan Dual-Core AI Models

Tencent Health has recently fully integrated the DeepSeek large language model via Tencent Cloud, forming a “dual-core” partnership with its self-developed Hunyuan large language model. This integration comprehensively upgrades medical services including intelligent triage, pre-consultation, health Q&A, smart medication guidance, symptom self-check, imaging report interpretation, and quality control. It enables over 1,000 hospitals across China to rapidly upgrade their intelligent applications, while providing multi-model deployment and application solutions—such as bioinformatics analysis assistants and digital marketing assistants—to medical institutions, health checkup centers, pharmaceutical and medical device enterprises, and gene sequencing companies.

Covering the entire healthcare journey, Tencent Health offers patients a wide range of service scenarios. These include pre-consultation tools such as health Q&A, symptom self-checks, and intelligent triage to support healthcare decision-making; in-consultation intelligent pre-consultation features to enhance physicians’ efficiency; and post-consultation services like report interpretation and smart medication management to help patients manage their conditions. These services are currently being gradually transitioned to a “multi-model” architecture.

DeepSeek Large Language Model Enhances the Healthcare Experience

Tencent Health is accelerating the development of a large-model medical service application platform, providing large-model-based medical services and intelligent applications to more than 1,000 hospitals across China. Hospitals implementing these intelligent services can choose to use DeepSeek or Tencent Hunyuan, leveraging AI assistants to deliver various medical services and health information, thereby formulating more patient-centered care plans and health management strategies for patients.

Equipped with large language models, the “AI Clinical Assistant” provides decision support for clinicians, strengthening quality control of clinical diagnostic risks and improving the quality of medical services across processes including history taking, disease prediction, treatment recommendation, and medication safety monitoring.

“AI Clinical Assistant” can provide decision support for clinicians

Based on medical record information, the “AI Clinical Assistant” can generate a list of suspected diseases after in-depth analysis of the patient’s condition. It ranks and flags these conditions by confidence level and urgency, and further provides evidence for differential diagnosis and reference treatment plans, thereby assisting physicians in making more comprehensive diagnostic and therapeutic decisions.

“Xiaomi AI Assistant” Quickly Helps Doctors Analyze Imaging Reports

The “Xiaomi AI Assistant,” which specializes in the analysis of medical imaging reports, can rapidly assist physicians by automatically retrieving historical reports and comparing changes in the patient’s condition. It also automatically recommends relevant examinations based on diagnostic conclusions, interprets the clinical significance of reported findings, and supports automatic detection and one-click correction of typographical errors, thereby enhancing the efficiency of report documentation.

Furthermore, Tencent Health is advancing the “dual-model” large language model combination of DeepSeek + Tencent Hunyuan in the fields of genomics and the digitalization of pharmaceuticals and medical devices.

Omics Platform AI Assistant: Providing End-to-End Intelligent Support for Bioinformatics Analysis

The Omics Platform AI Assistant deeply integrates the bioinformatics analysis workflow development framework with the platform’s knowledge base, offering services such as intelligent parsing of debugging information, assistance in workflow authoring, and Q&A on product functionalities, thereby providing end-to-end intelligent support for bioinformatics analysis.

NGES Empowers Digital Transformation of Pharmaceutical and Medical Device Enterprises

NGES provides pharmaceutical and medical device companies with an AI solution that integrates intelligent Q&A, knowledge management, and real-time information retrieval to address complex academic inquiries.

Through various methods such as Tencent Cloud API, large model knowledge engine invocation, and model deployment on the TI-ONE platform, Tencent Health has enabled the deployment of the DeepSeek large language model for the healthcare industry via public-network SaaS, API PaaS, and multi-scale privatized deployment models. This approach flexibly adapts to servers and runtime environments of various specifications, offering healthcare institutions a wide range of deployment options.

Meanwhile, Tencent Health can also provide deep customization based on the specific needs of institutions, building a professional medical knowledge base through RAG technology and integrating the dual-foundation large models of DeepSeek and Tencent Hunyuan.

Tencent Health has trained its proprietary medical large language model using over 100 billion medical tokens, leveraging a medical knowledge graph that covers 98% of diseases for retrieval-augmented generation to mitigate the risk of hallucinated medical information. Additionally, it incorporates a reinforcement learning-based reward mechanism to ensure more professional responses that integrate patient empathy, thereby emulating the demeanor of a physician.