Publication Name	World Journal of Radiology
Manuscript ID	91752
Country	China

Received	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
Revised	2024-03-06 03:51
Second Decision	2024-03-14 02:43
Accepted by Journal Editor-in-Chief
Accepted by Executive 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)
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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
ORCID	Author(s) ORCID Number Jian-She Yang http://orcid.org/0000-0001-7069-6072 Qiang Wang http://orcid.org/0000-0002-9855-6730 Zhong-Wei Lv http://orcid.org/0000-0003-3370-5560
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
CrossCheck Report	91752-CrossCheck report.pdf