(Topics include but are not limited to)
Electronic medical record data mining and clinical phenotype analysis
Multimodal medical data fusion and intelligent diagnosis
Disease risk prediction and prognosis models
Development and application of clinical decision support systems (CDSS)
Medical image intelligent analysis and auxiliary diagnosis
Health big data governance and data quality control
Real-world data (RWD) and efficacy evaluation
Precision medicine and individualized treatment plans
Clinical natural language processing and text mining
Wearable device data and chronic disease management
Interpretability of medical artificial intelligence models
Federated learning and multi-center clinical data collaboration
Health data privacy protection and secure sharing
Intelligent consultation and clinical dialogue systems
Monitoring and early warning of drug adverse reactions
Clinical pathway optimization and resource scheduling
Epidemiological modeling and public health decision-making
Construction and reasoning of medical knowledge graphs
Real-time analysis and early warning of intensive care data
Surgical planning and intelligent navigation systems
Health management and intelligent follow-up systems
Medical quality assessment and performance analysis
Verification and regulatory science of clinical AI models
Data architecture and integration of smart hospitals
Medical artificial intelligence ethics and legal framework