Hot Topic of the Conference: AI in Public Health and Medical Sciences

"AI in Public Health and Medical Sciences" is a hot topic at this conference. The conference aims to build an open academic exchange platform for researchers in the field of public health and medical sciences. Key focus areas include but are not limited to:

• Fundamental AI Research & Methodologies: Interpretable machine learning, multi-agent systems, reinforcement learning theory, deep learning generalization theory, etc.
• AI-Assisted Precision Medicine: Intelligent diagnostic models, personalized treatment recommendation, genomic data analysis.
• Medical Imaging and Intelligent Analysis: Automatic image recognition and annotation, intelligent lesion detection, multi-modal image fusion.
• AI-Driven Drug Discovery: Target prediction and validation, intelligent compound screening, clinical trial optimization.
• AI & Bioinformatics: Multi-omics integration, disease mechanism mining, biological network analysis.
• Smart Health Management: Wearable device data analysis, intelligent chronic disease monitoring, health risk early warning systems.
• Robotic Surgery and Intelligent Medical Devices: Surgical path planning, intraoperative real-time navigation, rehabilitation robot systems.
• Public Health and Epidemic Prediction: Disease transmission modeling, intelligent epidemic early warning, healthcare resource allocation optimization.
• Intelligent Medical Diagnosis and Personalized Treatment: Multi-modal medical data analysis, computer-aided diagnosis systems, intelligent treatment recommendation, prognosis prediction and dynamic adjustment, etc.
• Healthcare Resource Optimization and Hospital Intelligent Management: Intelligent triage systems, bed and workforce scheduling optimization, healthcare supply chain management, hospital operational decision support systems, etc.