Use video comprehension technology to diagnose ultrasound pneumothorax like a doctor would.

Journal: Frontiers in physiology
Published Date: May 27, 2025

Abstract

INTRODUCTION: Emergency rescue scenes and pre-hospital emergency stages commonly encounter trauma victims. Life-saving measures must be taken at the scene if a trauma patient has pneumothorax; if the patient is not evaluated and diagnosed right away, their life may be in jeopardy. Ultrasound, which has the advantages of being non-invasive, non-radioactive, portable, rapid, and repeatable, can be used to diagnose pneumothorax. However, those who interpret ultrasound images must undergo extensive, specialized, and rigorous training. Deep learning technology allows for the intelligent diagnosis of ultrasound images, allowing general healthcare professionals to quickly and with minimal training diagnose pneumothorax in lung ultrasound patients.

Authors

  • Xiaoyong Qiang
    College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin, China.
  • Qiang Wang
    Ningbo Konfoong Bioinformation Tech Co., Ltd, Ningbo, China.
  • Guanjun Liu
    School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China; Hubei Provincial Key Laboratory of Digital Watershed Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
  • Limei Song
    Tianjin Key Laboratory of Intelligent Control of Electrical Equipment, Tiangong University, Tianjin 300387, People's Republic of China. Electronic address: songlimei@tiangong.edu.cn.
  • Weibin Zhou
    College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin, China.
  • Ming Yu
    College of Computer and Control Engineering, Northeast Forestry University, Harbin, Heilongjiang Province, China.
  • Hang Wu
    Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.

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