This article describes the League of Radiologists (LOR), an AI-powered platform developed at Massachusetts General Hospital and Harvard Medical School using AWS services to revolutionize radiology education through personalized, adaptive learning.

• LOR transforms radiology training using AI, adaptive learning algorithms, and gamification elements
• Hybrid AI-human pipeline curates clinical images into trustworthy, single-finding educational cases
• LLM generates thousands of clinically accurate questions targeting five core radiology reasoning skills
• Adaptive algorithm personalizes question difficulty based on individual user performance in real-time
• Amazon Bedrock generates questions; Comprehend Medical extracts clinical terminology; Neptune builds knowledge graphs
• SageMaker enables adaptive learning; A2I provides human expert quality assurance oversight
• Initial chest radiography module produced 2,305 validated questions from 881 high-confidence cases
• Platform achieved global accessibility without specialized software or hardware requirements
• Hybrid validation strategy maintains clinical soundness while enabling scalability and reliability

LOR demonstrates how AWS AI services enable scalable, clinically rigorous medical education that adapts to learners worldwide while maintaining pedagogical standards.