Summary of Rexrank: a Public Leaderboard For Ai-powered Radiology Report Generation, by Xiaoman Zhang et al.
ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation
by Xiaoman Zhang, Hong-Yu Zhou, Xiaoli Yang, Oishi Banerjee, Julián N. Acosta, Josh Miller, Ouwen Huang, Pranav Rajpurkar
First submitted to arxiv on: 22 Nov 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary AI-driven models have shown promise in automating radiology report generation for chest X-rays. However, a standardized benchmark is lacking to objectively evaluate their performance. To address this, researchers introduce ReXrank, a public leaderboard and challenge for assessing AI-powered radiology report generation. The framework incorporates ReXGradient, the largest test dataset consisting of 10,000 studies, and three public datasets (MIMIC-CXR, IU-Xray, CheXpert Plus) for report generation assessment. Eight evaluation metrics are employed to separately assess models capable of generating only findings sections and those providing both findings and impressions sections. By providing this standardized evaluation framework, ReXrank enables meaningful comparisons of model performance and offers crucial insights into their robustness across diverse clinical settings. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine a computer program that can help doctors write reports about X-ray images. This could make their job easier and faster. But to know if the program is good or not, we need a way to measure how well it does its job. That’s where ReXrank comes in – a tool that helps compare different programs and see which one works best. The tool uses a big dataset of X-ray images and three smaller datasets to test how well each program writes reports. By doing this, ReXrank gives doctors and researchers a way to see how well these programs work and where they might need improvement. |
