Clinical Value Study of Artificial Intelligence-Assisted Gastrointestinal Ultrasound Contrast Imaging in the Diagnosis of Gastric Mucosal Lesions

Authors

  • Tianyu She Department of Medical Imaging Function, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Yina Zhao Department of Medical Imaging Function, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Hangyan Qian Department of Nursing, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Hongmin Dang Department of Proctology, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Yuan Li Department of Health Management Center, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Tao Hou Department of Community Health Service, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Qiyi Hu Third People's Hospital of Beichuan Qiang Autonomous County, Mianyang, China
  • Ling Tu Nanchang Institute of Technology, Nanchang, 330044, Jiangxi Province, China
  • Na Jing Department of Thyroid and Breast Surgery, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Yunlong Gao Hepatobiliary, Pancreatic and Liver Transplantation surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an. China
  • Lei Hua Department of Ultrasound, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an. China
  • Wei Bai Department of Health Management Center, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Xiaoxiao Zhao Department of Traditional Chinese Medicine, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Dan Yun Department of Proctology, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Xiaoying Tian Department of Medical Imaging Function, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Yangyan Sun Department of Medical Imaging Function, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Ruixia Yue Department of Medical Imaging Function, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Yu Cao Department of Medical Imaging Function, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Mei Liu Department of Medical Imaging Radiology, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Jie Mei Department of Medical Imaging Radiology, Xi’an Electric Power Central Hospital, Xi’an 710032, Shaanxi, China
  • Lu Xing Zokhiomj University, Ulaanbaatar, Mongolia

DOI:

https://doi.org/10.54097/1epz3y05

Keywords:

AI-assisted diagnosis, gastric mucosal lesions, contrast-enhanced ultrasound, diagnostic accuracy, clinical value

Abstract

Evaluating the diagnostic significance of AI-assisted contrast-enhanced ultrasonography in diagnosing gastric mucosal lesions among 200 cases diagnosed with suspected gastric mucosal diseases through conventional imaging and subsequently confirmed via histopathology under MRI guidance was determined to be an adequate method for comparison. Diagnosis by this system achieved a score above 83 percent, which is statistically significantly lower than 73 per cent for regular ultrasound examination results (p <0.01). Using AI algorithms to precisely define lesions and microcirculatory vessels to reduce interscanner variability. According to the above research results, an artificial intelligent assist gastrointestinal CEUS examination system has already been developed; therefore, its clinical diagnosis applications are highly necessary.

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Published

08-04-2026

Issue

Vol. 1 No. 2 (2026)

Section

Articles

License

Copyright (c) 2026 Academic Journal of Applied Sciences

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

She, T., Zhao, Y., Qian, H., Dang, H., Li, Y., Hou, T., Hu, Q., Tu, L., Jing, N., Gao, Y., Hua, L., Bai, W., Zhao, X., Yun, D., Tian, X., Sun, Y., Yue, R., Cao, Y., Liu, M., … Xing, L. (2026). Clinical Value Study of Artificial Intelligence-Assisted Gastrointestinal Ultrasound Contrast Imaging in the Diagnosis of Gastric Mucosal Lesions. Academic Journal of Applied Sciences, 1(2), 1-10. https://doi.org/10.54097/1epz3y05