Papers with clinical metrics

2 papers
MedCycle: Unpaired Medical Report Generation via Cycle-Consistency (2024.findings-naacl)

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Challenge: Generating medical reports for X-ray images presents a significant challenge . previous studies have required a specific labeling schema for images and reports .
Approach: They propose a cycle-consistent mapping function that transforms image embeddings into report embedds and auto-encoding for medical report generation.
Outcome: The proposed approach outperforms state-of-the-art results in unpaired chest X-ray report generation, showing improvements in both language and clinical metrics.
Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework (2026.acl-long)

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Challenge: Current methods map whole volumes to reports, ignoring the clinical workflow of analyzing localized Regions of Interest (RoIs) Current models exhibit suboptimal accuracy and are prone to significant hallucinations.
Approach: They propose a framework that mimics the professional radiologist diagnostic workflow by employing graph-based relational modules to capture dependencies between RoI attributes.
Outcome: The proposed framework surpasses existing models by 19.7% in BLEU and 4.7% in ROUGE-L while achieving a 45.8% improvement in clinical metrics.

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