Endoscopic ultrasound artificial intelligence-assisted for prediction of gastrointestinal stromal tumors diagnosis: A systematic review and meta-analysis

doi:10.4253/wjge.v15.i8.528

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 15, Issue 8

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (3454)

All Articles published online

The chart showing PDF series, WORD series, HTML series, Figures (1-5) series, Tables (1-2) series.

Item

Count

PDF

WORD

HTML

1720

Figures (1-5)

226

Tables (1-2)

257

Sum=2324

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

111

Download

393

Sum=504

Publishing Process of This Article

Item

Count

Browse

116

Download

383

Sum=499

Aug 16, 2023 (publication date) through Nov 29, 2024

Times Cited of This Article

Times Cited (2)

Journal Information of This Article

Publication Name

World Journal of Gastrointestinal Endoscopy

ISSN

1948-5190

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Meta-Analysis

World J Gastrointest Endosc. Aug 16, 2023; 15(8): 528-539
Published online Aug 16, 2023. doi: 10.4253/wjge.v15.i8.528

Full Size Figure Download Figure

Figure 4 Summary receiver operating characteristic curve of endoscopic ultrasound with artificial intelligence for gastrointestinal stromal tumor diagnostic. Each circle represent an individual study. SROC: Summary receiver operating characteristic; AUC: Area under curve.

Citation: Gomes RSA, de Oliveira GHP, de Moura DTH, Kotinda APST, Matsubayashi CO, Hirsch BS, Veras MO, Ribeiro Jordão Sasso JG, Trasolini RP, Bernardo WM, de Moura EGH. Endoscopic ultrasound artificial intelligence-assisted for prediction of gastrointestinal stromal tumors diagnosis: A systematic review and meta-analysis. World J Gastrointest Endosc 2023; 15(8): 528-539
URL: https://www.wjgnet.com/1948-5190/full/v15/i8/528.htm
DOI: https://dx.doi.org/10.4253/wjge.v15.i8.528