With the growing modality and volume of medical data available, multimedia systems play a crucial role in supporting clinical decision-making, personalized patient care, and real-time health monitoring. From medical imaging and wearable device data to electronic health records, integrating and analyzing these varied data sources is essential for developing comprehensive diagnostic systems.

This special session focuses on AI-driven methodologies, multimedia integration techniques, and challenges in medical data analysis. The advanced frameworks for AI-driven medical data analysis support multimedia systems in healthcare, facilitating more reliable, accurate, and efficient diagnostic capabilities that ultimately enhance patient outcomes. Key topics of interest in this session include, but are not limited to:

• AI-driven medical data analysis techniques for disease diagnosis
• Development of multimedia-based diagnostic datasets for training and validation
• AI-based approaches for lesion detection and segmentation in multimedia systems
• Applications of AI in multimedia-supported disease monitoring
• Investigation of the relationship between data analysis techniques and diagnostic accuracy
• Integration of multimedia data for comprehensive disease monitoring
• Interpretability and transparency of AI models in clinical settings
• Advanced AI-driven disease diagnosis methods within multimedia systems

Submission website: https://cmt3.research.microsoft.com/ICME2025

After signing in the ICME 2025 submission site as the author, please choose our Special Session name to submit the paper. Papers must be no longer than 6 pages, including all text, figures, and references. ICME 2025 reviewing is double blind, which means that authors cannot know the names of the reviewers of their papers, and reviewers cannot know the names of the authors. Information that may identify the authors anywhere in the submitted materials must be avoided. In particular, in the submitted pdf paper, the usual list of authors, their institutions, and their contact information must be replaced by the phrase, "Anonymous ICME Submission." Identifying information in the acknowledgments (e.g., co-workers and grant IDs), supplemental materials (e.g., titles in the videos, or attached papers), and links to the authors’ or their institutions’ websites must also be avoided.

Please refer to the main conference site for more submission policies on blinding, supplemental material, presentation guarantee, etc.

• Paper submission deadline:    13th December 2024
• Notification of acceptance:      14th March 2025
• Camera ready submission:      TBA