Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation

This article introduces a new framework for generating medical reports using AI. The focus is on moving beyond traditional N-gram models and incorporating a hierarchical reward learning approach to improve the clinical relevance and accuracy of the generated reports. The use of 'clinically-aware' suggests an emphasis on the practical application and impact of the AI in a medical context.

• •Focus on improving the clinical relevance of AI-generated medical reports.
• •Employs a hierarchical reward learning framework.
• •Moves beyond traditional N-gram models.