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Summary of Chexpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats, by Pierre Chambon et al.


CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

by Pierre Chambon, Jean-Benoit Delbrouck, Thomas Sounack, Shih-Cheng Huang, Zhihong Chen, Maya Varma, Steven QH Truong, Chu The Chuong, Curtis P. Langlotz

First submitted to arxiv on: 29 May 2024

Categories

  • Main: Computation and Language (cs.CL)
  • Secondary: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

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GrooveSquid.com Paper Summaries

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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
This paper presents CheXpert Plus, a publicly available dataset for radiology, which aims to enhance the performance and fairness of AI models in this field. The dataset consists of 36 million text tokens, including impression tokens, anonymized patient health information (PHI), and paired with high-quality images. This dataset is unique as it allows for cross-institution training at scale, enabling more accurate AI-assisted diagnoses. With over 13 million impression tokens and nearly 1 million PHI spans anonymized, CheXpert Plus represents the largest text de-identification effort in radiology.
Low GrooveSquid.com (original content) Low Difficulty Summary
CheXpert Plus is a big deal! It’s like a super-sized version of an old dataset called CheXpert that was released five years ago. Now, people can use this new data to make even better AI models that help doctors with medical imaging and diagnosis. The dataset has millions of words and images from hospitals all around the world. It’s special because it helps keep patient information private while still allowing researchers to train their AI models. This means that AI-assisted diagnoses will get even more accurate, which can improve medical care for patients.

Keywords

» Artificial intelligence