The topics of interest for submission include, but are not limited to:
◕ Track 1: Intelligent Diagnosis and Clinical Decision-Making
Intelligent diagnostic systems
Clinical decision support systems (CDSS)
Virtual diagnosis and simulation medicine
Telemedicine and remote diagnosis
Disease prediction and forecasting models
AI-driven drug discovery and therapeutic design
AI-assisted clinical trial planning and optimization
Personalized treatment planning
Multimodal data fusion for clinical decision-making
◕ Track 2: Precision Medicine and Biomedical Informatics
Precision medicine models and clinical applications
Biomedical informatics and translational bioinformatics
Medical statistics and computational epidemiology
Genomics and AI-based genomic interpretation
Proteomics analytics using machine learning
Metabolomics and AI-driven biomarker discovery
Systems biology and multi-omics integration
◕ Track 3: Medical Imaging and Medical NLP
Intelligent analysis of medical and pathological images
Medical natural language processing (EHRs, clinical notes)
Medical image generation, reconstruction, and enhancement
Cross-modal medical data analysis (image–text–omics)
Medical text mining and clinical knowledge graph construction
◕ Track 4: Healthcare Big Data and AI Technologies
Healthcare big data processing and management
Machine learning and deep learning in medicine
Frontier AI technologies for healthcare (LLMs, VLMs, diffusion models)
Federated learning and privacy-preserving AI
Edge intelligence for real-time medical applications
Blockchain for healthcare data sharing and security
◕ Track 5: Smart Medical Devices and Robotics
Intelligent medical instruments and healthcare robotics
Wearable sensors and mobile health (mHealth)
Biometrics and physiological signal monitoring
Surgical robots and autonomous robotic systems
Rehabilitation and assistive robots
Smart health monitoring devices and IoT-enabled care
◕ Track 6: Smart Health Management and Nursing
Smart health management systems
Virtual nursing and AI-assisted care
Intelligent chronic disease management
AI for mental health assessment and support
Intelligent elderly care and assistive systems
Home-based health monitoring and AI-enabled care pathways
◕ Track 7: Hospital Management and Data Security
Hospital information systems (HIS) and digital transformation
Medical data security and threat modeling
Privacy protection and regulatory compliance (HIPAA/GDPR)
Healthcare interoperability and standards
Intelligent hospital resource scheduling and optimization
◕ Track 8: AI in Traditional Medicine (Including TCM)
AI-enabled traditional medical diagnostics
Intelligent optimization of herbal prescriptions
Computational modeling of syndrome differentiation
Integrative health management combining AI and traditional medicine
◕ Other Emerging Topics
Triage and case prioritization
Speech interfaces and medical voice recognition
AI ethics in medicine
Explainable and trustworthy medical AI
AI applications in public health and epidemiology
Real-world evidence and clinical evaluation of AI systems
Interdisciplinary research across medicine, engineering, and data science