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©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Radiol. Mar 28, 2024; 16(3): 69-71
Published online Mar 28, 2024. doi: 10.4329/wjr.v16.i3.69
Published online Mar 28, 2024. doi: 10.4329/wjr.v16.i3.69
Artificial intelligence for disease diagnostics still has a long way to go
Jian-She Yang, Department of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
Jian-She Yang, Qiang Wang, Basic Medicine College, Gansu Medical College, Pingliang 744000, Gansu Province, China
Zhong-Wei Lv, Department of Nuclear Medicine, Shanghai Tenth People’s Hospital of Nanjing Medical University, Shanghai 200072, China
Author contributions: Yang JS, Wang Q, and Lv ZW designed the research, analyzed the data and wrote the paper.
Supported by the Dean Responsible Project of Gansu Medical College , No. GY-2023FZZ01 ; University Teachers Innovation Fund Project of Gansu Province , No. 2023A-182 ; and Key Research Project of Pingliang Science and Technology , No. PL-STK-2021A-004 .
Conflict-of-interest statement: All authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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/
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
Received: January 4, 2024
Peer-review started: January 4, 2024
First decision: March 2, 2024
Revised: March 6, 2024
Accepted: March 14, 2024
Article in press: March 14, 2024
Published online: March 28, 2024
Processing time: 81 Days and 23.1 Hours
Peer-review started: January 4, 2024
First decision: March 2, 2024
Revised: March 6, 2024
Accepted: March 14, 2024
Article in press: March 14, 2024
Published online: March 28, 2024
Processing time: 81 Days and 23.1 Hours
Core Tip
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.