Current and Potential Applications of Artificial Intelligence in Gastrointestinal Stromal Tumor Imaging

Joint Authors

Liu, Xijiao
Yang, Cai-Wei
Liu, Si-Yun
Wan, Shang
Ye, Zheng
Song, Bin

Source

Contrast Media & Molecular Imaging

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-11-26

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Diseases
Medicine

Abstract EN

The most common mesenchymal tumors are gastrointestinal stromal tumors (GISTs), which have malignant potential and can occur anywhere along the gastrointestinal system.

Imaging methods are important and indispensable of GISTs in diagnosis, risk staging, therapy, and follow-up.

The recommended imaging method for staging and follow-up is computed tomography (CT) according to current guidelines.

Artificial intelligence (AI) applies and elaborates theses, procedures, modes, and utilization systems for simulating, enlarging, and stretching the intellectual capacity of humans.

Recently, researchers have done a few studies to explore AI applications in GIST imaging.

This article reviews the present AI studies in GISTs imaging, including preoperative diagnosis, risk stratification and prediction of prognosis, gene mutation, and targeted therapy response.

American Psychological Association (APA)

Yang, Cai-Wei& Liu, Xijiao& Liu, Si-Yun& Wan, Shang& Ye, Zheng& Song, Bin. 2020. Current and Potential Applications of Artificial Intelligence in Gastrointestinal Stromal Tumor Imaging. Contrast Media & Molecular Imaging،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1139270

Modern Language Association (MLA)

Yang, Cai-Wei…[et al.]. Current and Potential Applications of Artificial Intelligence in Gastrointestinal Stromal Tumor Imaging. Contrast Media & Molecular Imaging No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1139270

American Medical Association (AMA)

Yang, Cai-Wei& Liu, Xijiao& Liu, Si-Yun& Wan, Shang& Ye, Zheng& Song, Bin. Current and Potential Applications of Artificial Intelligence in Gastrointestinal Stromal Tumor Imaging. Contrast Media & Molecular Imaging. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1139270

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1139270