Evaluating progress in automatic chest x-ray radiology report generation

F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis… - Patterns, 2023 - cell.com
Artificial intelligence (AI) models for automatic generation of narrative radiology reports from
images have the potential to enhance efficiency and reduce the workload of radiologists …

Ratescore: A metric for radiology report generation

W Zhao, C Wu, X Zhang, Y Zhang, Y Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper introduces a novel, entity-aware metric, termed as Radiological Report (Text)
Evaluation (RaTEScore), to assess the quality of medical reports generated by AI models …

Radiology-Aware Model-Based Evaluation Metric for Report Generation

A Calamida, F Nooralahzadeh, M Rohanian… - arxiv preprint arxiv …, 2023 - arxiv.org
We propose a new automated evaluation metric for machine-generated radiology reports
using the successful COMET architecture adapted for the radiology domain. We train and …

GREEN: Generative Radiology Report Evaluation and Error Notation

S Ostmeier, J Xu, Z Chen, M Varma… - arxiv preprint arxiv …, 2024 - arxiv.org
Evaluating radiology reports is a challenging problem as factual correctness is extremely
important due to the need for accurate medical communication about medical images …