(The following topics include but are not limited to)
Track 1: Digital Health
Mobile health applications
Remote health monitoring
Remote medical care
Electronic health records
Artificial intelligence-assisted diagnosis
Health big data analysis
Genomics and personalized medicine
Digital biomarkers
Mental health and behavioral intervention
Digital therapy
Smart hospitals
Blockchain healthcare
Digitalization of public health
Online health communities
Digital health education, etc.
Track 2: Medical Imaging
Medical imaging and analysis
Computer-assisted diagnosis
Image-guided procedures, robotic intervention and modeling
Image perception, observer performance and technical evaluation
Applications of biomedical imaging in molecular, structural and functional imaging
Ultrasound imaging, 3D imaging, X-ray imaging
Medical machine vision
Medical image visualization
Biomedical imaging
Medical imaging and radiological science
Molecular imaging and biology
Optimization and reconstruction algorithms for imaging modalities
Image denoising, correction, super-resolution and enhancement methods
Low-dose/rapid imaging techniques
Multi-modal image registration and fusion
Image segmentation and target detection, etc.
Track 3: Neural Network Applications
Neural network applications in natural language processing (NLP)
Neural network applications in medical imaging analysis
Neural network applications in bioinformatics
Neural network applications in robot control
Neural network applications in recommendation systems
Neural network applications in anomaly detection and early warning
Federated learning and distributed neural networks
Hardware acceleration of neural networks
Neural network applications in the Internet of Things (IoT)
Neural network applications in edge computing
Neural networks and photonics