A Medical Multimodal Diagnostic Framework Integrating Vision-Language Models and Logic Tree Reasoning

This article describes a research paper on a medical diagnostic framework. The framework integrates vision-language models and logic tree reasoning, suggesting an approach to improve diagnostic accuracy by combining visual data with logical deduction. The use of multimodal data (vision and language) is a key aspect, and the integration of logic trees implies an attempt to make the decision-making process more transparent and explainable. The source being ArXiv indicates this is a pre-print, meaning it hasn't undergone peer review yet.

• •Focuses on medical diagnostics.
• •Integrates vision-language models and logic tree reasoning.
• •Utilizes multimodal data (vision and language).
• •Aims for improved diagnostic accuracy and explainability.
• •Published on ArXiv, indicating it's a pre-print.