Artificial intelligence and eHealth technologies are rapidly transforming healthcare delivery, with data-driven algorithms offering new ways to provide accurate, timely, and effective patient care. These AI systems facilitate the processing and analysis of large-scale medical data with exceptional precision while also enhancing decision-making, ensuring data privacy, and optimizing system performance. As AI continues to shape the future of healthcare, its applications in eHealth are becoming increasingly critical to the advancement of medical services. This special session aims to bring together scientists, researchers, and experts to discuss emerging challenges, solutions, and insights related to the application of AI in eHealth.
The scope of the session includes, but is not limited to, the following topics:
- Artificial Intelligence in eHealth
- Data-Driven Approaches in eHealth
- Biomedical Image Processing
- Biomedical Data Stream Processing
- Data Visualization and Statistical Analysis for eHealth
- Patient Data Security, Privacy, and Reliability in eHealth
- Data Security-Related Problems of AI Methods and Models Applied in eHealth
- Performance Evaluation of eHealth Systems
- Patient Digital Twins
- Emerging Research Challenges in eHealth
- Applications of large language models in patient management, pharmacology, and clinical decision-making.
