Home Baidu Lingyi Large Model: China's First Industrial-Grade Medical AI Model Files IPO Prospectus

Baidu Lingyi Large Model: China's First Industrial-Grade Medical AI Model Files IPO Prospectus

Nov 21, 2023 09:56 CST Updated 09:56

With the meteoric rise of ChatGPT, China’s large AI model products have entered an era of “thousand-model warfare.”


The Lingyi Large Model is a healthcare-specific large language model launched by Baidu’s Health Business Group (encompassing three brands: Lingyi Zhihui, Baidu Health, and GBI). Integrating data from physicians, patients, and pharmaceutical companies, the model offers capabilities such as medical Q&A, assisted medical record documentation, clinical diagnosis support, medication knowledge retrieval, interpretation of laboratory and diagnostic test reports, and medical information extraction.


Build an AI-native multi-tiered service system, specifically including:


· Computing Power Layer:Tailored heterogeneous computing platforms—including the Xinchuang edition, high-performance integrated training and inference appliance edition, and CPU edition—are provided to meet the diverse computational power requirements of various users.


· Model Layer:Provide optional foundational capabilities of the Lingyi Large Model, including the Lite version (pre-trained with tens to hundreds of billions of parameters), the Flagship version (hundreds of billions of parameters), and the Customized version (data fine-tuning + pre-training), tailored to the characteristics of diverse healthcare application scenarios.


· Capability Layer:Leveraging mature AI scenario capabilities built on the foundational model layer, we provide plug-and-play open services to the entire healthcare industry chain through flexible integration methods such as API calls and AI plugins.


· Application Layer:By leveraging the Lingyi large language model as its foundation to restructure service workflows for patients, physicians, and enterprise personnel, we have built a product matrix of Lingyi Bot AI-native applications focused on three key areas: Intelligent Health Steward, Intelligent Physician Assistant, and Intelligent Enterprise Services. This delivers a new digital-intelligent healthcare service experience for patients, physicians, and enterprise users.


November 23 (Thursday) at 19:30, VCBeat Select New Product Tasting Session No. 37,Invited toGeneral Manager, Baidu Smart HealthcareLiu Junwei, Huang Haifeng, Head of Baidu Smart Healthcare Technology, providing an introduction to the Lingyi Large Language Model.


Baidu AI Industry DepartmentContinuously empower hospitals, governments, enterprises, and other clients and partners in the broader healthcare industry through evidence-based AI technology.


· Three Major Service Foundations:Medical Knowledge Middle Platform, Medical Data Middle Platform, and Medical AI Middle Platform.

· N Service Scenarios:Dimensions of high-quality hospital development, refined operational management, premium and convenient services, and technology-enabled empowerment.

· Three Major Service Entities:Smart Hospital Construction Plan, Regional Healthcare Empowerment Plan, and Pharmaceutical Digital Intelligence Service Plan.


Fully commit to the three core elements of large models to build the Lingyi Large Model:


· High-quality Chinese general-purpose large language model foundation,Built on the domestically developed ERNIE pre-trained model foundation, with multiple enhancements in knowledge, retrieval, and context.

· Ten-thousand-card computing power and toolchain support,10,000-GPU-Scale Computing Cluster and Full-Lifecycle Model Development Toolchain

· In-depth accumulation in the healthcare industry,Hundreds of billions of tokens in healthcare training data, covering over 100 types of medical AI machine learning tasks.


Four Major Directions


The Lingyi large language model already offers relatively mature solutions that can accelerate the transition to generative AI. The four key directions are:For Internet Hospitals, For Public Hospitals, For Pharmaceutical Companies, For Pharmacies and Clinics.


Top 10 Scenarios


Scenario 1:Professional Knowledge Q&A: Efficient Knowledge Query and Services (Internet Hospitals, Public Hospitals, Pharmaceutical Companies, Pharmacies/Primary Care)


Scenario 2: Integrating medical record quality control with standardized diagnosis and treatment to provide high-quality medical record generation (internet hospitals, public hospitals, pharmacies/primary care)


Scene 3: Delivering smart research services by integrating knowledge and data solutions (for public hospitals and pharmaceutical companies)


Scenario 4:AI-Assisted Diagnosis and Treatment Empowering Standardized Care at the Grassroots Level and Online (Internet Hospitals, Public Hospitals, Pharmaceutical Companies, Pharmacies/Grassroots Institutions)


Scene 5:Intelligent Health Steward: Enhancing Patient Satisfaction and Reducing Healthcare Service Costs (Internet Hospitals, Public Hospitals, Pharmacies/Primary Care)


Scenario 6:Health Record Generation Facilitates Better Implementation of Preventive Healthcare Services (Pharmacies/Primary Care)


Scenario 7:Professional Knowledge Q&A Supports Enterprise-Localized Knowledge Base Deployment (Internet Hospitals, Public Hospitals, Pharmaceutical Companies, Pharmacies/Primary Care Institutions)


Scenario 8:Efficiently Generate KOL Tag Profiles to Facilitate Precision Academic Promotion (Pharmaceutical Companies)


Scenario 9:Real-time Analysis of Patient Dynamic Tags to Generate Personalized Professional Content (Internet Hospitals, Public Hospitals, Pharmaceutical Companies, Pharmacies/Primary Care)


Scene 10:Full-Stack Empowerment of Large Model Generation Capabilities: GBI’s Leading Professional Consulting Services (Pharmaceutical Enterprises)


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Guest Introduction


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Liu Junwei

General Manager of Baidu Smart Healthcare (including Lingyi Zhihui, GBI, etc.)


Member of the 4th Council of the Chinese Hospital Association; Group Expert at the Smart Digital Center of People’s Medical Publishing House; Expert at the Academic Annual Conference of the Cross-Strait Medicine and Health Exchange Association; Vice Chairman of the 1st Committee of the Blindness Prevention and Treatment Branch of the Shandong Society for Translational Medicine.

With over 10 years of experience in product design, management, and innovation within the internet and artificial intelligence sectors. Led or served as a core member in multiple projects valued at tens or hundreds of millions of RMB, sponsored by the Ministry of Science and Technology, the Ministry of Industry and Information Technology, and the National Office for Diabetes Prevention and Control. Spearheaded the development of medical AI middle platforms, data middle platforms, and knowledge middle platforms. Oversaw the end-to-end creation of large language models and applications tailored for the healthcare industry, successfully developing and deploying products such as clinical decision support systems, intelligent medical record management solutions, and fundus image analysis systems.


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Huang Haifeng

Head of Smart Healthcare Technology, Baidu


With over 10 years of experience in product R&D and technical team management within the internet and artificial intelligence sectors. Led teams to leverage Baidu’s full-stack AI capabilities, incubating medical AI middle platforms, medical knowledge middle platforms, and medical data middle platforms. Upholding the vision of “Empowering the Greater Health Industry with Evidence-Based AI,” we have successively launched industry-leading intelligent solutions such as Clinical Decision Support Systems (CDSS) and Intelligent Medical Records (IMR), as well as the Lingyi Bot large language model product. These offerings cover three major scenarios: smart clinical care, smart management, and smart services, and have been deployed in over 800 hospitals and more than 4,000 primary healthcare institutions across China. As the Head of Smart Healthcare Technology at Baidu, Huang Haifeng conducts pioneering research on the integration and practical application of AI technologies in the healthcare industry.


About the Organizer


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About Baidu Lingyi Zhihui


Lingyi Zhihui is Baidu’s AI healthcare brand. Upholding the vision of “empowering the broader healthcare industry with evidence-based AI,” it leverages the core technologies and AI capabilities of Baidu Brain to build a medical AI middle platform, a medical knowledge middle platform, and a medical data middle platform. Its products and services span multiple areas in the healthcare sector, including the Lingyi large language model and its applications, clinical decision support systems (CDSS), connotation-based quality control of medical records, intelligent cost containment for DRG/DIP payment systems, reporting and quality control for single-disease entities, medical big data services, and research platforms. By harnessing the power of technology, Lingyi Zhihui makes high-quality medical resources more accessible. In recent years, it has engaged in in-depth practices across four key areas: supporting hospitals, empowering government agencies, benefiting patients, and serving pharmaceutical and medical device companies. Committed to fulfilling its social responsibilities, it continuously delivers AI healthcare capabilities to society, aiming to enhance the efficiency and quality of the healthcare industry. Through technology, it actively contributes to China’s early realization of the “Healthy China 2030” strategy. To date, its solutions have been deployed in over 800 hospitals and more than 4,000 primary healthcare institutions across China.


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VCBeat Selects: New Product Reviews


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