(The following topics include but are not limited to)
Track 1: Biomedical Signal Processing
Biomedical Signal Acquisition and Preprocessing
Electrocardiogram (ECG) and Magnetocardiogram (MCG) Signal Processing
Electroencephalogram (EEG) and Magnetoencephalogram (MEG) Signal Processing
Electromyogram (EMG) and Neural Signal Processing
Medical Ultrasound Signal Processing
Biological Impedance Signal Processing
Optical Volume Pulse Wave Signal Processing
Time-Frequency Analysis of Biomedical Signals
Feature Extraction of Biomedical Signals
Classification and Recognition of Biomedical Signals
Multimodal Biomedical Signal Fusion
Biomedical Signal Compression and Coding
Noise Reduction and Enhancement of Biomedical Signals
Event-related Potential Analysis
Neural Decoding and Brain-Computer Interface Signal Processing
Wearable Device Signal Processing
Biomedical Signal Processing Algorithms
Biomedical Signal Processing Systems
Signal Processing in Mobile Healthcare
Track 2: Intelligent Medical Systems
Clinical Decision Support System
Medical Information System
Intelligent Health Management
Remote Medical System
Intelligent Rehabilitation System
Intelligent Diagnostic System
Intelligent Treatment System
Intelligent Drug Development
Intelligent Nursing System
Medical Robot System
Surgical Navigation System
Health Internet of Things
Medical Big Data Analysis
Medical Cloud Platform
Medical Information Security
Intelligent Hospital Management
Wearable Intelligent System
Intelligent Sensor System
Embedded Medical System
Edge Medical Intelligence
Medical Metaverse
Intelligent Health Monitoring System
Digital Therapy System
Intelligent Imaging System
Medical Question-Answering System Based on Large Models
Medical Multi-Agent Collaborative System
Personalized Health Intelligent Recommendation System
Track 3: Machine Learning
Application of Deep Learning in Medicine
Intelligent Analysis of Medical Images
Intelligent Processing of Biomedical Signals
Computer-Assisted Diagnosis
Gene Expression Data Analysis
Multimodal Medical Data Fusion
Application of Reinforcement Learning in Medicine
Medical Representation Based on Contrastive Learning
Application and Fine-Tuning of Large Models in Medicine
Causal Inference in Medical Decision-making
Intelligent Analysis of Multi-Omics Data
...