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3/26/2024 8:47:07 AM | Browse: 86 | Download: 101
Publication Name World Journal of Radiology
Manuscript ID 91752
Country China
2024-01-04 08:50
Peer-Review Started
2024-01-04 08:50
To Make the First Decision
Return for Revision
2024-03-02 07:18
2024-03-06 03:51
Second Decision
2024-03-14 02:43
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2024-03-14 04:48
Articles in Press
2024-03-14 04:48
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2024-03-20 11:50
Publish the Manuscript Online
2024-03-26 07:58
ISSN 1949-8470 (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) 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 Computer Science, Artificial Intelligence
Manuscript Type Letter to the Editor
Article Title Artificial intelligence for disease diagnostics still has a long way to go
Manuscript Source Unsolicited Manuscript
All Author List Jian-She Yang, Qiang Wang and Zhong-Wei Lv
Funding Agency and Grant Number
Funding Agency Grant Number
Dean Responsible Project of Gansu Medical College GY-2023FZZ01
University Teachers Innovation Fund Project of Gansu Province 2023A-182
Key Research Project of Pingliang Science and Technology PL-STK-2021A-004
Corresponding Author Jian-She Yang, MD, MSc, PhD, Academic Editor, Academic Fellow, Chairman, Chief Technician, Dean, Full Professor, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchang Road (M), Shanghai 200072, China. 2305499@tongji.edu.cn
Key Words Artificial intelligence; Figure recognition; Diagnosis; AI interactive mechanisms
Core Tip We strengthened the importance of mechanism elucidation of the advanced artificial intelligence in processing figures recognition, especially for those images with very similar characteristics that are difficult to be distinguished by the naked eye, and expressed a caution on decision making by using artificial intelligence technique for medical use, in that the unidentified potential would result in a bias.
Publish Date 2024-03-26 07:58
Citation Yang JS, Wang Q, Lv ZW. Artificial intelligence for disease diagnostics still has a long way to go. World J Radiol 2024; 16(3): 69-71
URL https://www.wjgnet.com/1949-8470/full/v16/i3/69.htm
DOI https://dx.doi.org/10.4329/wjr.v16.i3.69
Full Article (PDF) WJR-16-69-with-cover.pdf
Manuscript File 91752_Auto_Edited-LJH-YJP.docx
Answering Reviewers 91752-Answering reviewers.pdf
Audio Core Tip 91752-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 91752-Conflict-of-interest statement.pdf
Copyright License Agreement 91752-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 91752-Grant application form(s).pdf
Non-Native Speakers of English Editing Certificate 91752-Language certificate.pdf
Peer-review Report 91752-Peer-review(s).pdf
Scientific Misconduct Check 91752-Bing-Liu JH-2.png
Scientific Misconduct Check 91752-CrossCheck.png
Scientific Editor Work List 91752-Scientific editor work list.pdf