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 (5568)
All Articles published online
|
Featured Article
|
Publishing Process of This Article
|
Jun 28, 2021 (publication date) through Apr 29, 2024
Times Cited of This Article
Journal Information of This Article
Publication Name
Artificial Intelligence in Gastroenterology
ISSN
2644-3236
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Hardy NP, Dalli J, Mac Aonghusa P, Neary PM, Cahill RA. Biophysics inspired artificial intelligence for colorectal cancer characterization. Artif Intell Gastroenterol 2021; 2(3): 77-84 [DOI: 10.35712/aig.v2.i3.77] |
|---|---|
| URL: | https://www.wjgnet.com/2644-3236/full/v2/i3/77.htm |
| Number | Citing Articles |
| 1 |
J. Dalli, C.L. Nguyen, A. Jindal, J.P. Epperlein, N.P. Hardy, C. Pulitano, S. Warrier, R.A. Cahill. A feasibility study assessing quantitative indocyanine green angiographic predictors of reconstructive complications following nipple-sparing mastectomy. JPRAS Open 2024; 40: 32 doi: 10.1016/j.jpra.2024.01.012
|