BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
8/12/2024 8:42:28 AM | Browse: 54 | Download: 177
 |
Received |
|
2024-04-04 12:09 |
 |
Peer-Review Started |
|
2024-04-04 12:09 |
 |
To Make the First Decision |
|
|
 |
Return for Revision |
|
2024-05-09 07:03 |
 |
Revised |
|
2024-06-13 12:44 |
 |
Second Decision |
|
2024-07-09 02:42 |
 |
Accepted by Journal Editor-in-Chief |
|
|
 |
Accepted by Executive Editor-in-Chief |
|
2024-07-09 07:18 |
 |
Articles in Press |
|
2024-07-09 07:18 |
 |
Publication Fee Transferred |
|
|
 |
Edit the Manuscript by Language Editor |
|
|
 |
Typeset the Manuscript |
|
2024-08-06 02:27 |
 |
Publish the Manuscript Online |
|
2024-08-12 08:42 |
ISSN |
2220-3206 (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: https://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2024. 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 |
Psychiatry |
Manuscript Type |
Minireviews |
Article Title |
Challenges and prospects in bridging precision medicine and artificial intelligence in genomic psychiatric treatment
|
Manuscript Source |
Invited Manuscript |
All Author List |
Uchenna Esther Okpete and Haewon Byeon |
ORCID |
|
Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Basic Science Research Program through the National Research Foundation of Korea Funded by the Ministry of Education |
NRF-RS-2023-00237287, and NRF-2021S1A5A8062526 |
Local Government-University Cooperation-Based Regional Innovation Projects |
2021RIS-003 |
|
Corresponding Author |
Haewon Byeon, DSc, PhD, Associate Professor, Director, Director, Department of Digital Anti-aging Healthcare (BK21), Inje University, No. 197 Injero, Gyeonsangnamdo, Gimhae 50834, South Korea. bhwpuma@naver.com |
Key Words |
Precision medicine; Psychiatric treatment; Genomic data; Machine learning; Deep learning; Clinical decision making; Data privacy |
Core Tip |
This paper explores the convergence of precision medicine and artificial intelligence (AI) in psychiatric care, focusing on tailoring treatments to individuals' genetic backgrounds. It underscores the complexity of psychiatric disorders, attributed to varied genetic, environmental, and lifestyle factors, and the role of AI in navigating these challenges by analyzing large genomic datasets. Despite obstacles such as data privacy, computational requirements, and model generalization, the study highlights the necessity for ethical guidelines and regulatory frameworks for AI use in psychiatric genetics. Furthermore, it stresses the importance of interdisciplinary collaboration to effectively address the AI-related implementation challenges in precision medicine. |
Publish Date |
2024-08-12 08:42 |
Citation |
<p>Okpete UE, Byeon H. Challenges and prospects in bridging precision medicine and artificial intelligence in genomic psychiatric treatment. <i>World J Psychiatry</i> 2024; 14(8): 1148-1164</p> |
URL |
https://www.wjgnet.com/2220-3206/full/v14/i8/1148.htm |
DOI |
https://dx.doi.org/10.5498/wjp.v14.i8.1148 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345