Publication Name	World Journal of Meta-Analysis
Manuscript ID	82682
Country	China

Received	2022-12-26 08:55
Peer-Review Started	2022-12-26 08:57
To Make the First Decision
Return for Revision	2023-03-12 07:32
Revised	2023-03-18 12:18
Second Decision	2023-04-03 03:13
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2023-04-04 02:57
Articles in Press	2023-04-04 02:57
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2023-04-11 04:01
Publish the Manuscript Online	2023-04-14 06:38

ISSN	2308-3840 (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	Psychiatry
Manuscript Type	Review
Article Title	Artificial intelligence ecosystem for computational psychiatry: Ideas to practice
Manuscript Source	Invited Manuscript
All Author List	Xin-Qiao Liu, Xin-Yu Ji, Xing Weng and Yi-Fan Zhang
Funding Agency and Grant Number
Corresponding Author	Xin-Qiao Liu, PhD, Associate Professor, School of Education, Tianjin University, No. 135 Yaguan Road, Jinnan District, Tianjin 300350, China. xinqiaoliu@pku.edu.cn
Key Words	Computational psychiatry; Big data; Artificial intelligence; Medical ethics; Large-scale online data
Core Tip	This study reviews and integrates the methods and models in the clinical practice of computational psychiatry and constructs a complete and mature Artificial Intelligence ecosystem. The ecosystem for computational psychiatry includes data acquisition, preparation, modeling, application, and evaluation. This approach allows researchers to integrate data from a variety of sources to obtain a more complete understanding of mental health conditions. Despite the continuous development and breakthrough of computational psychiatry, it has not yet influenced routine clinical practice and still faces many challenges, such as data availability and quality, biological risks, equity, and data protection.
Publish Date	2023-04-14 06:38
Citation	Liu XQ, Ji XY, Weng X, Zhang YF. Artificial intelligence ecosystem for computational psychiatry: Ideas to practice. World J Meta-Anal 2023; 11(4): 79-91
URL	https://www.wjgnet.com/2308-3840/full/v11/i4/79.htm
DOI	https://dx.doi.org/10.13105/wjma.v11.i4.79

Full Article (PDF)	WJMA-11-79.pdf
Full Article (Word)	WJMA-11-79.docx
Manuscript File	82682_Auto_Edited-LJH-JLW.docx
Answering Reviewers	82682-Answering reviewers.pdf
Audio Core Tip	82682-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	82682-Conflict-of-interest statement.pdf
Copyright License Agreement	82682-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	82682-Language certificate.pdf
Peer-review Report	82682-Peer-review(s).pdf
Scientific Misconduct Check	82682-Bing-Liu JH-2.png
Scientific Misconduct Check	82682-CrossCheck.png
Scientific Editor Work List	82682-Scientific editor work list.pdf
CrossCheck Report	82682-CrossCheck report.pdf