Explore the transformative potential of Multimodal Large Learning Models (MLLMs) in enterprise medical imaging informatics. This session provides a comprehensive overview of how MLLMs integrate diverse imaging modalities and clinical text data to enhance analysis and decision-making. Experts from pathology, dermatology, and radiology will share real-world examples and discuss the capabilities and limitations of these advanced models. Attendees will gain valuable insights into practical applications of MLLMs, equipping them with the knowledge to apply these tools effectively in the clinical imaging domain.

Objectives

• Describe the integration of multimodal medical imaging data with clinical text using advanced MLLMs.
• Identify best practices for leveraging MLLMs in diverse medical imaging applications, including pathology, dermatology, and radiology.
• Explain how MLLMs improve analysis, decision-making, and workflow efficiency in enterprise medical imaging informatics.