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Articles Published Processes
12/31/2021 12:21:18 PM | Browse: 588 | Download: 1240
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Received |
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2021-08-13 10:09 |
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Peer-Review Started |
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2021-08-13 10:14 |
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To Make the First Decision |
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Return for Revision |
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2021-10-02 07:48 |
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Revised |
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2021-10-12 12:27 |
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Second Decision |
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2021-12-24 04:45 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-12-25 19:53 |
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Articles in Press |
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2021-12-25 19:53 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2021-12-20 18:04 |
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Typeset the Manuscript |
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2021-12-29 14:55 |
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Publish the Manuscript Online |
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2021-12-31 12:21 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Gianluca Rompianesi, Francesca Pegoraro, Carlo DL Ceresa, Roberto Montalti and Roberto Ivan Troisi |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Gianluca Rompianesi, FEBS, MD, PhD, Assistant Professor, Surgeon, Division of Hepato-Bilio-Pancreatic, Minimally Invasive and Robotic Surgery, Department of Clinical Medicine and Surgery, Federico II University Hospital, via Pansini 5, Naples 80125, Italy. gianlucarompianesi@gmail.com |
| Key Words |
Colorectal cancer; Liver metastases; Artificial intelligence; Machine learning; Deep learning; Neural networks; Radiomics |
| Core Tip |
The digitalization of healthcare generating huge amount of data set the ground for the progressive ubiquitous application of artificial intelligence (AI) technologies in healthcare. AI analyses can assist clinicians in all phases of colorectal liver metastases natural history: From predicting their occurrence, to increasing diagnostic accuracy or estimating recurrence risk after treatment and patient outcome. The implementation of AI resources supports the contemporary paradigm shift that sees healthcare focus moving from a generalized, disease-oriented to an individual, patient-centered, precision medicine approach. |
| Publish Date |
2021-12-31 12:21 |
| Citation |
Rompianesi G, Pegoraro F, Ceresa CD, Montalti R, Troisi RI. Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases. World J Gastroenterol 2022; 28(1): 108-122 |
| URL |
https://www.wjgnet.com/1007-9327/full/v28/i1/108.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v28.i1.108 |
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