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Articles Published Processes
3/6/2025 10:23:02 AM | Browse: 103 | Download: 603
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Received |
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2024-09-06 01:42 |
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Peer-Review Started |
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2024-09-18 01:43 |
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First Decision by Editorial Office Director |
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2024-10-12 02:54 |
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Return for Revision |
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2024-10-12 02:54 |
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Revised |
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2024-10-24 22:57 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2024-11-25 02:39 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-11-25 07:17 |
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Articles in Press |
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2024-11-25 07:17 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-12-04 01:56 |
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Publish the Manuscript Online |
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2025-03-06 10:23 |
| ISSN |
2222-0682 (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
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Pediatrics |
| Manuscript Type |
Retrospective Study |
| Article Title |
“Electronic Pediatrician”, a non-machine learning prototype artificial intelligence software for pediatric computer-assisted pathophysiologic diagnosis — general presentation
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Andrei-Lucian Drăgoi and Roxana-Maria Nemeș |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Andrei-Lucian Drăgoi, MD, . dr.dragoi@yahoo.com |
| Key Words |
Knowledge-based systems; Computer-assisted medical diagnosis; Non-machine learning artificial intelligence; DXPlain; General pediatrics; “Electronic Pediatrician” software |
| Core Tip |
Electronic Pediatrician (EPed) is the first and only physiopathology-based non-machine learning artificial intelligence (nml-AI) Knowledge-based systems (KBS) focused on general pediatrics and is the first and only Romanian pediatric KBS addressed to medical professionals. Furthermore, EPed is the first and only nml-AI KBS that offers not only both a physiopathology-based differential and positive disease diagnosis, but also identifies possible physiopathological “clusters” that may explain the signs and symptoms of any child-patient and may help treating that patient physiopathologically (until a final diagnosis is found), thus encouraging and developing the physiopathological reasoning of any clinician. |
| Publish Date |
2025-03-06 10:23 |
| Citation |
Drăgoi AL, Nemeș RM. “Electronic Pediatrician”, a non-machine learning prototype artificial intelligence software for pediatric computer-assisted pathophysiologic diagnosis — general presentation. World J Methodol 2025; 15(3): 100903
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| URL |
https://www.wjgnet.com/2222-0682/full/v15/i3/100903.htm |
| DOI |
https://dx.doi.org/10.5662/wjm.v15.i3.100903 |
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