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6/28/2022 6:24:20 AM | Browse: 398 | Download: 801
Publication Name Artificial Intelligence in Cancer
Manuscript ID 75772
Country/Territory India
Received
2022-02-14 12:22
Peer-Review Started
2022-02-14 12:24
To Make the First Decision
Return for Revision
2022-03-12 02:35
Revised
2022-04-09 07:08
Second Decision
2022-06-06 03:23
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-06-17 22:49
Articles in Press
2022-06-17 22:49
Publication Fee Transferred
Edit the Manuscript by Language Editor
2022-05-19 11:12
Typeset the Manuscript
2022-06-27 08:59
Publish the Manuscript Online
2022-06-28 03:19
ISSN 2644-3228 (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
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Oncology
Manuscript Type Minireviews
Article Title Building and evaluating an artificial intelligence algorithm: A practical guide for practicing oncologists
Manuscript Source Unsolicited Manuscript
All Author List Anupama Ramachandran, Deeksha Bhalla, Krithika Rangarajan, Raja Pramanik, Subhashis Banerjee and Chetan Arora
Funding Agency and Grant Number
Corresponding Author Krithika Rangarajan, MBBS, MD, Assistant Professor, Department of Radiology, All India Institute of Medical Sciences New Delhi, AIIMS, Ansari Nagar , New Delhi 110029, India. krithikarangarajan86@gmail.com
Key Words Artificial intelligence; Precision medicine; Radiomics; Deep learning
Core Tip Designing projects and evaluating algorithms require a basic understanding of principles of machine learning. In addition, specific tasks have specific data requirements, annotation requirements, and applications. In this review, we describe the basic principles of machine learning, as well as explain various common tasks and their data requirements and applications in order to enable practicing oncologists to plan their own projects.
Publish Date 2022-06-28 03:19
Citation Ramachandran A, Bhalla D, Rangarajan K, Pramanik R, Banerjee S, Arora C. Building and evaluating an artificial intelligence algorithm: A practical guide for practicing oncologists. Artif Intell Cancer 2022; 3(3): 42-53
URL https://www.wjgnet.com/2644-3228/full/v3/i3/42.htm
DOI https://dx.doi.org/10.35713/aic.v3.i3.42
Full Article (PDF) AIC-3-42.pdf
Full Article (Word) AIC-3-42.docx
Manuscript File 75772_Auto_Edited-LJH_WangTQ-LS.docx
Answering Reviewers 75772-Answering reviewers.pdf
Audio Core Tip 75772-Audio core tip.aac
Conflict-of-Interest Disclosure Form 75772-Conflict-of-interest statement.pdf
Copyright License Agreement 75772-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 75772-Language certificate.pdf
Peer-review Report 75772-Peer-review(s).pdf
Scientific Misconduct Check 75772-Bing-Liu JH-2.jpg
Scientific Misconduct Check 75772-CrossCheck.jpg
Scientific Editor Work List 75772-Scientific editor work list.pdf