Track 1: Virtual Reality and Augmented Reality

- VR/AR applications in surgical training and simulation
- Augmented reality for real-time clinical decision support
- Immersive therapy for mental health and rehabilitation
- VR/AR in medical education and patient engagement
- Human-computer interaction in medical VR/AR systems
- Ethical and privacy challenges in healthcare VR/AR

Track 2: Big Data and Cloud Computing

- Federated learning and privacy-preserving healthcare analytics
- Cloud-based platforms for telemedicine and remote monitoring
- AI-driven big data analytics for disease prediction and prevention
- Blockchain for secure health data sharing and interoperability
- Real-time processing of wearable and IoT-generated health data
- Scalable architectures for genomic and precision medicine data

Track 3: Intelligent Healthcare Systems

- AI-powered clinical decision support systems (CDSS)
- Robotics and automation in hospital workflows
- Smart hospital infrastructure and IoT integration
- Natural language processing (NLP) for electronic health records (EHR)
- Explainable AI (XAI) for transparent medical diagnostics
- Adaptive systems for chronic disease management

Track 4: Medical Imaging and Informatics

- Deep learning for radiology, pathology, and microscopy image analysis
- 3D reconstruction and visualization in diagnostic imaging
- AI-assisted early detection of cancers and neurological disorders
- Multimodal medical image fusion and registration
- Edge computing for real-time medical imaging processing
- Standards and interoperability in medical imaging informatics

Track 5: Personalized Medicine and Treatment

- Genomics and AI for tailored therapeutic strategies
- Pharmacogenomics and drug response prediction
- Wearable sensors and continuous health monitoring for personalized care
- Patient-derived organoids and computational modeling
- Ethical and regulatory frameworks for personalized medicine
- Behavioral analytics for individualized lifestyle interventions

Track 6: Healthcare Technology and Applications

- Mobile health (mHealth) apps for disease management
- Telehealth platforms and remote patient monitoring solutions
- Assistive technologies for aging populations and disabilities
- Point-of-care diagnostics and portable medical devices
- AI chatbots and virtual health assistants
- Social determinants of health (SDOH) and technology-enabled interventions