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3/6/2025 10:23:02 AM | Browse: 81 | Download: 473
Publication Name World Journal of Methodology
Manuscript ID 100903
Country Romania
Received
2024-09-06 01:42
Peer-Review Started
2024-09-18 01:43
First Decision by Editorial Office Director
2024-10-12 02:54
Return for Revision
2024-10-12 02:54
Revised
2024-10-24 22:57
Publication Fee Transferred
Second Decision by Editor
2024-11-25 02:39
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2024-11-25 07:17
Articles in Press
2024-11-25 07:17
Edit the Manuscript by Language Editor
Typeset the Manuscript
2024-12-04 01:56
Publish the Manuscript Online
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
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 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
Manuscript Source Invited Manuscript
All Author List Andrei-Lucian Drăgoi and Roxana-Maria Nemeș
ORCID
Author(s) ORCID Number
Andrei-Lucian Drăgoi http://orcid.org/0000-0002-2261-1350
Funding Agency and Grant Number
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

URL https://www.wjgnet.com/2222-0682/full/v15/i3/100903.htm
DOI https://dx.doi.org/10.5662/wjm.v15.i3.100903
Full Article (PDF) WJM-15-100903-with-cover.pdf
Manuscript File 100903_Auto_Edited_103844.docx
Answering Reviewers 100903-answering-reviewers.pdf
Audio Core Tip 100903-audio.mp3
Biostatistics Review Certificate 100903-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form 100903-conflict-of-interest-statement.pdf
Copyright License Agreement 100903-copyright-assignment.pdf
Signed Informed Consent Form(s) or Document(s) 100903-informed-consent-statement.pdf
Institutional Review Board Approval Form or Document 100903-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate 100903-non-native-speakers.pdf
Peer-review Report 100903-peer-reviews.pdf
Scientific Misconduct Check 100903-scientific-misconduct-check.png
Scientific Editor Work List 100903-scientific-editor-work-list.pdf
CrossCheck Report 100903-crosscheck-report.pdf