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6/18/2025 9:06:01 AM | Browse: 8 | Download: 76
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Received |
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2024-12-02 12:17 |
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Peer-Review Started |
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2024-12-02 12:17 |
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To Make the First Decision |
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Return for Revision |
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2025-03-05 11:30 |
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Revised |
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2025-03-13 21:41 |
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Second Decision |
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2025-05-13 02:44 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-05-13 03:05 |
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Articles in Press |
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2025-05-13 03:05 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-06-04 06:37 |
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Publish the Manuscript Online |
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2025-06-18 08:20 |
| ISSN |
2218-5836 (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) 2025. 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 |
Orthopedics |
| Manuscript Type |
Observational Study |
| Article Title |
Artificial intelligence-based diagnosis of hallux valgus interphalangeus using anteroposterior foot radiographs
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Konrad Kwolek, Artur Gądek, Kamil Kwolek, Agnieszka Lechowska-Liszka, Michał Malczak and Henryk Liszka |
| Funding Agency and Grant Number |
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| Corresponding Author |
Henryk Liszka, MD, PhD, Professor, Department of Orthopedics and Physiotherapy, Jagiellonian University Collegium Medicum, Macieja Jakubowskiego 2, Kraków 30-688, Małopolska, Poland. liszkah@gmail.com |
| Key Words |
Computer-assisted diagnosis; Artificial intelligence in orthopedics; Hallux valgus; Foot deformities acquired; Machine learning; Diagnostic imaging; Computer-assisted image interpretation |
| Core Tip |
This study presents an automated method for evaluating hallux interphalangeus angles using high-resolution, weight-bearing anteroposterior foot radiographs. Reference points are identified based on defined criteria applied to the automatically segmented bones of the hallux. Despite the anatomical complexity of the distal phalanx, the proposed technique reliably calculates the interphalangeal angle. Experimental findings show high consistency between the algorithm's measurements and those performed by clinicians. |
| Publish Date |
2025-06-18 08:20 |
| Citation |
<p>Kwolek K, Gądek A, Kwolek K, Lechowska-Liszka A, Malczak M, Liszka H. Artificial intelligence-based diagnosis of hallux valgus interphalangeus using anteroposterior foot radiographs. <i>World J Orthop</i> 2025; 16(6): 103832</p> |
| URL |
https://www.wjgnet.com/2218-5836/full/v16/i6/103832.htm |
| DOI |
https://dx.doi.org/10.5312/wjo.v16.i6.103832 |
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