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Summary of Evoke: Elevating Chest X-ray Report Generation Via Multi-view Contrastive Learning and Patient-specific Knowledge, by Qiguang Miao and Kang Liu and Zhuoqi Ma and Yunan Li and Xiaolu Kang and Ruixuan Liu and Tianyi Liu and Kun Xie and Zhicheng Jiao


EVOKE: Elevating Chest X-ray Report Generation via Multi-View Contrastive Learning and Patient-Specific Knowledge

by Qiguang Miao, Kang Liu, Zhuoqi Ma, Yunan Li, Xiaolu Kang, Ruixuan Liu, Tianyi Liu, Kun Xie, Zhicheng Jiao

First submitted to arxiv on: 15 Nov 2024

Categories

  • Main: Computer Vision and Pattern Recognition (cs.CV)
  • Secondary: Artificial Intelligence (cs.AI)

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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 proposes a novel framework for automatic radiology report generation called EVOKE, which incorporates multi-view contrastive learning and patient-specific knowledge to improve diagnostic accuracy. The approach consists of two main components: a multi-view contrastive learning method that aligns multi-view radiographs with their corresponding reports, and a knowledge-guided report generation module that integrates available patient-specific indications to produce accurate and coherent radiology reports. The authors evaluate EVOKE on several datasets, including MIMIC-CXR, MIMIC-ABN, Multi-view CXR, and Two-view CXR, achieving significant improvements over recent state-of-the-art methods.
Low GrooveSquid.com (original content) Low Difficulty Summary
This paper is about a new way to help doctors write medical reports more accurately. Right now, radiologists have to do this by hand, which takes up a lot of their time. The researchers propose a system called EVOKE that uses special learning techniques and patient information to generate these reports automatically. They tested the system on different datasets and found that it was much better than other methods at writing accurate reports.

Keywords

» Artificial intelligence