Yidu Tech Unveils AI Middleware Platform for Healthcare Ecosystem | Artery New Product Showcase Episode 124
In recent years, the rise of large language model technology has ushered in a new chapter for the healthcare sector, guiding the medical industry toward a new era characterized by greater intelligence and efficiency.Yidu TechBased on Over a Decade of Multidimensional Practical ExperienceQuantifiable Knowledge Graph, independently developedMedical Vertical Large Language ModelIn May this year, Yidu Tech ranked first among more than 100 participating models in the authoritative evaluation platform MedBench, launched by the Shanghai AI Laboratory and the Shanghai Digital Medical Innovation Center. In the large model triage capability assessment organized by the National Health Commission, with results announced on September 28, Yidu Tech’s large model once again secured the top ranking.
Yidu Tech has consistently promoted the implementation of large language model (LLM) technologies across a wide range of business scenarios, including healthcare, pharmaceuticals, insurance, and patient services. To address the high barriers associated with building proprietary LLMs and empower users to independently develop their own LLM-based applications,Yidu Tech Launches “AI Middle-Platform Solution” Based on Large Language Models to Meet the Needs of Healthcare Institutions, Government Agencies, and Other Users for Security, Professionalism, and Autonomy.
On Monday, December 30, at 19:30, the 124th episode of VCBeat’s New Product Showcase will feature Dr. Yan Jun, Chief Technology Officer and Chief AI Scientist at Yidu Tech; Zhang Yujie, Director of Large Model Product Technology at Yidu Tech; and Zheng Xinlan, Strategic Expert and Head of Large Model Ecosystem at Yidu Tech, who will present"Yidu Tech AI Middle Platform"Product Introduction,Intelligent Solutions for the Entire Healthcare Ecosystem。
Yidu Tech AI Middle Platform
/A New Paradigm for the Autonomous Construction and Application of Hospital AI Capabilities/
Provide hospitals with an AI middle platform that integrates software and hardware, as well as training and inference, to help them build autonomous, controllable, privately secure, and open-innovative AI capabilities and applications.
1. Hardware Resource Adaptation
Full-stack adaptation for training and inference across mainstream domestic and international chips, with flexible single/multi-node cluster configuration for efficient compute utilization.
2. Large Language Models for the Medical Vertical
Provides multi-parameter versions of medical vertical large language models (6B/13B/70B) to meet the requirements of medical professionalism and application needs for multiple specific medical task scenarios.
3. AI Capability R&D and Open Platform with Visualized, User-Friendly Interfaces
Provide a comprehensive toolchain suite covering large model training, inference applications, and performance validation, enabling users to leverage their proprietary data and knowledge for scenario-specific fine-tuning of model capabilities. It also serves as a unified AI service interface, offering standardized and convenient access to AI capabilities.
4. Build Agents and Applications with Zero Code
Provide a knowledge base management platform and an agent management platform, leveraging RAG, Workflow, prompt engineering, and LLM Agents to enable zero-code construction of agents and applications. Empower every business-savvy user to independently create their own intelligent applications.
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Yan Jun
Chief Technology Officer and Chief AI Scientist, Yidu Tech
Dr. Yan Jun is the Chief Technology Officer and Chief AI Scientist at Yidu Tech. He earned his Ph.D. from the School of Mathematical Sciences at Peking University. He previously served as a Research Assistant at Harvard Medical School and as a Senior Researcher at Microsoft Research Asia. His research interests include knowledge mining in artificial intelligence, knowledge-based machine learning, text processing technologies, and information retrieval, with a particular focus on AI research in the healthcare sector.
To date, Dr. Yan Jun has been granted dozens of domestic and international technical patents, published more than 100 high-quality academic papers, served as a member and senior member of the program committees for numerous prestigious academic conferences, and acted as a reviewer for many high-impact journals.
Formerly served as Chair of the CCKS Industrial Forum, Chair of the Young Scientists Forum at the World Conference on Artificial Intelligence Technology, Doctoral Supervisor at Sun Yat-sen University, Master of Engineering Supervisor at Renmin University of China, and Deputy Director of the Microsoft-Peking University Joint Laboratory. Currently serves as a Member of the Professional Committee on Language and Knowledge Computing of the Chinese Information Processing Society of China (CIPS), a Member of the Professional Committee on Medical Health and Bioinformatics Processing of CIPS, Chief Scientist at the Institute of Medical Big Data, Chongqing Medical University, Visiting Researcher at the Institute for AI Industry Research (AIR), Tsinghua University, and Observer of the Expert Group on AI Medical Device Standardization under the National Medical Products Administration (NMPA).
Zhang Yujie
Yidu Tech, Technical Director of Large Model Products
Master of Medicine, with 10 years of experience in healthcare technology products and solutions. Currently serving as the Technical Director of Large Model Products at Yidu Tech, responsible for the implementation and application of large models in the healthcare sector. Committee Member of the Large Models and Generation Professional Committee under the Chinese Information Processing Society; Mentor for the Innovation and Entrepreneurship Course at the School of Nursing, Peking University; Council Member of the Intelligent Diagnosis and Treatment Branch of Integrated Traditional Chinese and Western Medicine Surgery under the China Association of Traditional Chinese Medicine Information.
Zheng Xinlan
Strategic Expert & Head of Large Model Ecosystem, Yidu Tech
EMBA from Peking University Health Science Center, with 10 years of experience in strategic planning within the healthcare industry. Currently serves as Chief Strategy Expert and Head of Large Model Ecosystem at Yidu Tech, overseeing external collaborations and ecosystem development for large language models. Judge for the HSBC Business School Global Healthcare Innovation and Entrepreneurship Competition.
About Yidu Tech
Yidu Tech (Stock Code: 2158.HK), established in 2014, is a leading enterprise in China’s AI healthcare industry, dedicated to providing intelligent and innovative solutions for the healthcare sector.
As a leading enterprise in China’s intelligent healthcare industry, the company is committed to building a secure, inclusive, and precise intelligent healthcare system. Guided by its mission to “make value-based precision medicine accessible to everyone,” Yidu Tech Group adheres to independent innovation, upholds a long-term strategic development philosophy, and actively embodies a spirit of responsibility and pragmatism. It provides innovation-driven solutions powered by intelligent analytics, aiming to help reduce healthcare costs and enhance supply-side efficiency.
Leveraging sustained R&D investment, continuously iterated algorithms, robust data processing capabilities, and accumulated medical expertise, Yidu Technology has developed industry-leading intelligent healthcare solutions. Built upon its proprietary “AI Healthcare Brain,” YiduCore, the company focuses on three core scenarios—research, diagnosis and treatment, and public health—with diseases as the primary dimension. As of September 30, 2024, YiduCore had processed over 5.5 billion authorized medical records, with its hospital network covering more than 2,800 institutions. The company’s knowledge graph now encompasses nearly all known diseases, while its specialized disease databases cover more than 80 disease areas. Additionally, Yidu Technology has assisted relevant experts and institutions in publishing 19 datasets, spanning conditions such as colorectal cancer, gastric cancer, ophthalmic diseases, leukemia, and liver cirrhosis.
Yidu Tech provides big data platforms and solutions, life science solutions, and health management platforms and solutions to empower clinical research, healthcare management, regional public health, population health management, new drug development, and other fields.
On the New Product Review by VCBeat
“VCBeat New Product Showcase” is a live-streaming series dedicated to supporting healthcare companies in launching their innovative products. The program’s mission is to empower every milestone launch of medical innovations. Companies with plans to release innovative medical products or achieve significant milestones and wish to participate in the “VCBeat New Product Showcase” are invited to contact our assistant for more information.
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