Can AI agents improve medical image diagnosis?
PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology
PathFinder is a multi-agent AI system designed to mimic how pathologists diagnose diseases from biopsy images. It uses different AI agents specializing in tasks like assessing risk, navigating the image, describing features, and making a diagnosis. PathFinder combines image and text data, and its diagnostic explanations are provided in natural language.
Key aspects relevant to LLM-based multi-agent systems include: different agents collaborating on sub-tasks, integrating vision and language models, using text descriptions for agent guidance and feedback, challenges of applying LLMs to specialized tasks with limited data, the use of instruction tuning, and the ability to generate natural language explanations for increased interpretability. PathFinder demonstrates that specialized agents working together can outperform generalist models in complex domains, highlighting the potential of multi-agent LLM systems.