Artificial intelligence and machine learning in colorectal cancer

doi:10.37126/aige.v3.i3.31

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 3, Issue 3

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 (6421)

All Articles published online

The chart showing PDF series, WORD series, HTML series, Figures (1-2) series, Tables (1-3) series.

Item

Count

PDF

199

WORD

HTML

2645

Figures (1-2)

476

Tables (1-3)

452

Sum=3859

Featured Article

The chart showing Browse series, Download series.

Item

Count

Browse

446

Download

925

Sum=1371

Publishing Process of This Article

Item

Count

Browse

389

Download

802

Sum=1191

Jun 28, 2022 (publication date) through Jan 2, 2025

Times Cited of This Article

Times Cited (0)

Journal Information of This Article

Publication Name

Artificial Intelligence in Gastrointestinal Endoscopy

ISSN

2689-7164

Publisher of This Article

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

Minireviews

Artif Intell Gastrointest Endosc. Jun 28, 2022; 3(3): 31-43
Published online Jun 28, 2022. doi: 10.37126/aige.v3.i3.31

Full Size Figure Download Figure

Figure 1 Operational levels of artificial intelligence.

Citation: Awidi M, Bagga A. Artificial intelligence and machine learning in colorectal cancer. Artif Intell Gastrointest Endosc 2022; 3(3): 31-43
URL: https://www.wjgnet.com/2689-7164/full/v3/i3/31.htm
DOI: https://dx.doi.org/10.37126/aige.v3.i3.31