Yidu Tech Assists Harbin Medical University Cancer Hospital in Successfully Implementing Localized Deployment of Yidu AI Middleware Platform + DeepSeek

With the support of the domestic large language model DeepSeek (full version) and Yidu Tech’s "AI Medical Brain" YiduCore, the AI Clinical Guidelines Assistant has been launched, enabling intelligent and evidence-based clinical decision-making! This marks another significant milestone and innovative breakthrough for the "YiduCore + DeepSeek" collaboration, following Yidu Tech’s successful partnerships with top-tier hospitals such as Xiangya Hospital of Central South University, The First Affiliated Hospital of Nanchang University, and Sun Yat-sen University Cancer Hospital.

AI Clinical Guidelines Assistant: The "Smart Textbook" for Clinical Decision-Making

What happens when AI meets authoritative medical guidelines? Yidu Tech’s AI Clinical Guidelines Assistant, now live at Harbin Medical University Cancer Hospital, is becoming a "smart textbook" for doctors. Physicians can customize the assistant according to their needs, inputting the latest guideline knowledge with precision.  

Most notably, every AI recommendation comes with an "academic ID," allowing one-click tracing to the original guideline source and evidence level. This ensures that every clinical decision is both technologically advanced and academically rigorous.

AI Middleware Platform × DeepSeek: The "Super Engine" for Scientific Innovation

The integration of Yidu’s AI Middleware Platform and DeepSeek is like equipping scientific innovation with a "super engine." It injects transformative momentum into research, unlocks the deep value of medical data, improves the efficiency and standardization of scientific innovation, enhances the translation of research outcomes, and optimizes the entire research process.

Six Years of Dedication: Building a Data "Moat"

Since 2019, Harbin Medical University Cancer Hospital has relied on Yidu Tech’s "AI Medical Brain" YiduCore to meticulously develop the "Yidu Medical Data Intelligence Platform." This platform comprehensively includes data from 2 million patients and 5 million medical records dating back to 2006, creating a vast and precise medical data resource library. It promotes the integration of clinical practice, research, and education, enhances the hospital’s research capabilities and service quality, and effectively facilitates the translation of research outcomes.  

The deployment of the AI Middleware Platform + DeepSeek large language model significantly enhances the capabilities of the medical data intelligence platform. By leveraging the combined technical advantages of big data and large language models, it establishes a "data-intelligence-application" closed loop, supporting hospital research data management, specialized disease database construction, and accelerating the transition from a "diagnosis and treatment center" to a "smart medical innovation center."

Dual Brains: The AI Gold Partner for Clinicians

- AI Medical Brain (YiduCore): 

A decade of expertise has solidified its professional capabilities. As of September 30, 2024, YiduCore has processed and analyzed over 5.5 billion authorized medical records, covering a network of more than 2,800 hospitals. Its disease knowledge graph encompasses nearly all known diseases.  

- General Intelligence Brain (DeepSeek-R1 Full Version): 

With 671 billion parameters, this large language model excels in task performance and generalization capabilities, flexibly addressing complex medical scenarios.  

With the support of these dual brains, doctors can diagnose diseases and plan treatments more efficiently and accurately, develop personalized treatment strategies, and significantly improve the efficiency and quality of clinical care.

Triple Protection: Building a Robust "Great Wall of Security"

In terms of data security and privacy protection, Yidu Tech ensures:  

√ All data calls are conducted within the hospital’s internal network in a closed loop;  
√ Model debugging strictly relies on high-quality, desensitized data;  
√ The entire intelligent reasoning process is traceable and logged.  

This ensures that AI serves as both a "super external brain" for doctors and an "iron guardian" of patient privacy. Through deep integration with top-tier large language models like DeepSeek, Yidu’s AI Middleware Platform has achieved breakthroughs in computing efficiency, increasing training resource utilization by approximately 25%; model capabilities have leaped forward, with key task accuracy improving by 5-20%; and development efficiency has been revolutionized, reducing application launch cycles by about 50%.

Yidu Tech’s AI Middleware Platform: Paving the "Highway" for Large Language Models

The platform’s flexibility and scalability are unparalleled, supporting the localized deployment, invocation, and training of various large language models, including DeepSeek, Yidu’s vertical domain models, and Yidu’s multimodal models.  

Additionally, it has built a comprehensive technical ecosystem, covering pre-training models, fine-tuning tools, knowledge bases, and intelligent agents, as well as providing clinical workers with no-code capabilities to build intelligent agents and applications. This empowers every doctor to easily "harness" AI, truly achieving the goal of "teaching people to fish."

Empowering Every Medical Scenario

Beyond clinical diagnosis and treatment, Yidu Tech aims to enable medical professionals to develop intelligent applications based on the AI Middleware Platform, empowering creativity in scientific innovation, patient management, hospital operations, and more—making AI accessible to everyone.  

Yidu Tech will assist Harbin Medical University Cancer Hospital in redefining the entire landscape of cancer research, from report interpretation and intelligent triage to telemedicine, contributing significantly to cancer prevention and treatment. In the future, with the continuous expansion and deepening application of the "YiduCore + DeepSeek" model, Yidu Tech will explore more intelligent medical application scenarios, driving the construction of smart hospitals to new heights.