Potential topics include, but are not limited to, the following:
• AI-powered personalized learning systems in medical education
• Intelligent tutoring systems and AI-based student performance assessment
• Virtual and augmented reality (VR/AR) with AI for clinical training and simulation
• Natural language processing (NLP) and conversational AI in medical education
• Computer-aided diagnosis (CAD) for medical imaging (X-ray, CT, MRI, dermatology,
pathology, etc.)
• Deep learning and energy-based models for disease detection and classification
• Explainable AI (XAI) for diagnostic imaging and clinical decision support
• Predictive analytics for disease progression, treatment outcomes, and personalized
medicine
• AI in telemedicine and remote healthcare platforms
• AI for smart hospital management and healthcare workflow optimization
• Wearable devices, IoMT (Internet of Medical Things), and AI-driven health monitoring
• Data privacy, ethics, and fairness in AI applications for healthcare
• AI applications in genomics, precision medicine, and public health surveillance