Special Session 3. Multimodal Medical Data Fusion and Precision Diagnosis-Treatment Practice with Large Models

- SS3 Call-for-papers Flyer Download Link

SUBMIT ONLINE: https://www.easychair.org/conferences/?conf=prai2026  (Please choose Special Session 3)

With the advancement of medical digitization and AI technology, the medical field has entered an era driven by multimodal data and large models; medical data, featuring diversity, high dimensionality and large scale, is the cornerstone of precision medicine, while the fragmentation of single-modal data limits clinical decision-making accuracy, making multimodal data fusion a cutting-edge solution to this bottleneck. As large models have achieved leaps from technical exploration to clinical application, their integration with multimodal data fusion has become a revolutionary trend in biomedical research, addressing pain points like uneven medical resource distribution. This special session focuses on the intersection of these technologies in precision diagnosis and treatment, aiming to build an academic exchange platform for global experts, gather the latest research achievements, discuss core challenges such as data alignment, model customization and privacy protection, and promote the integration of pattern recognition, AI and clinical medicine to accelerate the transformation of scientific research achievements and boost the development of precision medicine worldwide.

Chair:   Chair:
Kehui Song, Tiangong University, China
Email: songkehui@tiangong.edu.cn
  Xiangrui Cai, Nankai University, China
Email: caixr@nankai.edu.cn


RELATED TOPICS
Topics of interest include, but are not limited to:

  •  Multimodal Medical Data Fusion Theory and Algorithms
     Medical Large Model Optimization and Customization
     Large Model-Driven Precision Diagnosis and Treatment Applications
     Engineering Practice and System Deployment
     Evaluation and Validation of Clinical Applications
     Emerging Technologies and Cross-Disciplinary Integration
     ……

IMPORTANT DATE
Submission Deadline: March 25, 2026
Notification Date: April 25, 2026
Registration Deadline: May 10, 2026