Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
Recent advancements in artificial intelligence have significantly improved the automatic
generation of radiology reports. However, existing evaluation methods fail to reveal the …
generation of radiology reports. However, existing evaluation methods fail to reveal the …
ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation
AI-driven models have demonstrated significant potential in automating radiology report
generation for chest X-rays. However, there is no standardized benchmark for objectively …
generation for chest X-rays. However, there is no standardized benchmark for objectively …
HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation
We present Head CT Ontology Normalized Evaluation (HeadCT-ONE), a metric for
evaluating head CT report generation through ontology-normalized entity and relation …
evaluating head CT report generation through ontology-normalized entity and relation …
ER2Score: LLM-based Explainable and Customizable Metric for Assessing Radiology Reports with Reward-Control Loss
Automated radiology report generation (R2Gen) has advanced significantly, introducing
challenges in accurate evaluation due to its complexity. Traditional metrics often fall short by …
challenges in accurate evaluation due to its complexity. Traditional metrics often fall short by …