ChatEXAONEPath is a groundbreaking multimodal large language model specifically designed to analyze histopathology whole slide images for improved cancer diagnosis.

• Integrates advanced visual processing with language understanding to interpret complex tissue samples
• Demonstrates expert-level performance in analyzing histopathology images
• Aims to assist clinicians in real-world clinical cancer diagnosis scenarios
• Leverages multi-faceted approach to understand the complex contexts of medical data

This research represents a significant advancement in AI-assisted medicine, potentially reducing diagnostic time, improving accuracy, and supporting clinicians with an expert-level digital assistant for cancer pathology.

Original Paper: ChatEXAONEPath: An Expert-level Multimodal Large Language Model for Histopathology Using Whole Slide Images