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健康信息学与人工智能
Health Informatics and AI
Aims
Health Informatics and AI (HIAI) is a peer-reviewed, interdisciplinary journal committed to advancing the integration of informatics principles, data science methodologies, and artificial intelligence (AI) technologies in healthcare and public health contexts. As digital transformation reshapes...
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- Scopes
- The journal covers interdisciplinary research at the intersection of healthcare, informatics, and AI, including but not limited to the following core areas:
- AI for Healthcare Data Processing and Analysis:Technologies for standardization and structuring of healthcare data, AI-driven healthcare data mining, Privacy protection and security technologies for healthcare big data
- Applications of AI in Clinical Diagnosis, Treatment, and Decision Support:Auxiliary diagnostic systems, Clinical decision support tools, Optimization of clinical workflows
- Integrative Innovation of Healthcare Informatics and AI: AI integration in health information systems, AI applications in mobile health (mHealth) and wearable devices, Construction and application of medical knowledge graphs
- AI Empowerment for Healthcare Systems and Public Health: Optimization of healthcare resource allocation, Public health monitoring and emergency response, Healthcare quality assessment and improvement
- Methodologies and Case Studies in Interdisciplinary Fields: Development of new AI algorithms/models for healthcare, Innovation in interdisciplinary research methods, Real-world case studies