Publication Name	Artificial Intelligence in Medical Imaging
Manuscript ID	80204
Country	China

Received	2022-09-20 02:32
Peer-Review Started	2022-09-21 00:24
To Make the First Decision
Return for Revision	2022-11-30 08:23
Revised	2022-12-08 07:33
Second Decision	2022-12-20 08:10
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2022-12-21 07:44
Articles in Press	2022-12-21 07:44
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2022-12-22 11:41
Publish the Manuscript Online	2022-12-28 08:19

ISSN	2644-3260 (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/
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Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Minireviews
Article Title	Radiomics: Status quo and future challenges
Manuscript Source	Invited Manuscript
All Author List	Zhi-Yun Jiang, Li-Shuang Qi, Jia-Tong Li, Nan Cui, Wei Li, Wei Liu and Ke-Zheng Wang
Funding Agency and Grant Number
Corresponding Author	Ke-Zheng Wang, MD, PhD, Chief Doctor, Professor, Department of Positron Emission Tomography-Computed Tomography/Magnetic Resonance Imaging, Harbin Medical University Cancer Hospital, No. 150 Haping Road, Harbin 150081, Heilongjiang Province, China. wangkezheng9954001@163.com
Key Words	Radiomics; Methodologies; Quantification; Clinical applications; Limitations
Core Tip	Radiomics is widespread applied in clinical researches through extracting high-dimensional quantitative imaging features as a relatively emerging and mature technique based on medical imaging. The basic principles and methodologies of radiomics were reviewed to make it easy to understand from the relatively fixed processes. The representative clinical utilizations were declared to show the benefits of radiomics in diagnosis, tumor biological features and prognosis. Radiomics has revealed potential of clinical applications, while there are still many limitations to resolve in the further researches.
Publish Date	2022-12-28 08:19
Citation	Jiang ZY, Qi LS, Li JT, Cui N, Li W, Liu W, Wang KZ. Radiomics: Status quo and future challenges. Artif Intell Med Imaging 2022; 3(4): 87-96
URL	https://www.wjgnet.com/2644-3260/full/v3/i4/87.htm
DOI	https://dx.doi.org/10.35711/aimi.v3.i4.87

Full Article (PDF)	AIMI-3-87.pdf
Full Article (Word)	AIMI-3-87.docx
Manuscript File	80204_Auto_Edited-LJH-JLW.docx
Answering Reviewers	80204-Answering reviewers.pdf
Audio Core Tip	80204-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	80204-Conflict-of-interest statement.pdf
Copyright License Agreement	80204-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	80204-Language certificate.pdf
Peer-review Report	80204-Peer-review(s).pdf
Scientific Misconduct Check	80204-Bing-Liu JH-2.jpg
Scientific Misconduct Check	80204-CrossCheck.jpg
Scientific Editor Work List	80204-Scientific editor work list.pdf