On December 24, Shanghai Government unveiled the "Work Plan for Developing Medical Artificial Intelligence (2025–2027)" to advance the deep integration of artificial intelligence (AI) with clinical medicine and promote the application of vertical large models in diagnostic support for testing and inspection.
The plan outlines strategic goals to position Shanghai as a global hub for medical AI innovation, application, and industry development.
Key Highlights of the Plan
1. Enhancing Innovation Capacity
- Frontier Basic Research.
- Driving Advancements in AI algorithms and Computing.
- Data Governance and Circulation.
2. Building Support Platforms
- New Healthcare Data Infrastructure.
- AI-Driven Drug Development Platforms.
- Testing and Validation Centers for Medical AI.
- Pilot Facilities for Medical AI Applications.
3. Developing Comprehensive Application Scenarios
(a) Clinical Medicine Integration
- Clinical Decision Support.
- Diagnostic Support for Testing: Leveraging multimodal large models for intelligent medical imaging, critical value alerts, enhanced imaging analysis, and precise quality control.
- Surgical Assistance.
- Smart Medication Services.
- Rehabilitation Services.
- Patient Services.
(b) Integration with Traditional Chinese Medicine
- Intelligent TCM Diagnosis Systems.
- Smart Management of Chinese Medicine.
(c) Public Health Integration
- Smart Management of Public Health Incidents.
- Infectious Disease Monitoring.
- Lifecycle Vaccination Management.
- Health Assessment and Interventions.
- Targeted Health Services for Key Populations.
(d) Healthcare Management Integration
- Smart Hospital Management.
- Industry Governance.
- AI-Powered Medical Education and Training.
(e) Medical Insurance Regulation Integration
- Fraud Detection in Insurance Claims.
- Monitoring Key Consumables.
(f) Drug and Device R&D Integration
- Innovative Drug Development.
- Smart Medical Devices.
- Support for Clinical Trials.
4. Boosting Industry Development
- Industrial Clusters.
- Global Leadership.
5. Creating a World-Class Development Environment
- Regulatory Optimization.
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