KGARevion is a novel knowledge graph-based AI agent designed to answer complex biomedical questions by mimicking human reasoning approaches.

• Combines multiple reasoning strategies (rule-based, prototype-based, and case-based) to handle diverse medical evidence
• Uses knowledge graphs to enhance reasoning capabilities and ensure reliability
• Demonstrates improved performance on biomedical QA benchmarks
• Addresses specific challenges in African healthcare contexts

This research advances medical AI by creating systems that can integrate structured medical knowledge with experiential insights, potentially improving clinical decision support and medical education in diverse healthcare settings.

KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA