Artificial intelligence-based diagnosis of hallux valgus interphalangeus using anteroposterior foot radiographs

The proposed AI-assisted IPA measurement method shows strong clinical potential, effectively corresponding with manual measurements. Integrating IPA with HVA and IMA assessments provides a comprehensive tool for automated forefoot deformity analysis, supporting hallux valgus severity classification and preoperative planning, while offering substantial time savings in high-volume clinical settings.

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Publication Details

Journal
World Journal of Orthopedics
Published
2025-06-18
DOI
https://doi.org/10.5312/wjo.v16.i6.103832
Citations
1
Primary Topic
Foot and Ankle Surgery
Type
article
Field-Weighted Citation Impact
1.72
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article

Artificial intelligence-based diagnosis of hallux valgus interphalangeus using anteroposterior foot radiographs

Artur Gądek, Henryk Liszka, Kamil Kwolek, Agnieszka Lechowska-Liszka et al.
1 citations
World Journal of Orthopedics
Foot and Ankle Surgery
1.72
article

Artificial intelligence-based diagnosis of hallux valgus interphalangeus using anteroposterior foot radiographs

Artur Gądek, Henryk Liszka, Kamil Kwolek, Agnieszka Lechowska-Liszka, Konrad Kwolek, Michał Malczak
article en
1 citations

Abstract

The proposed AI-assisted IPA measurement method shows strong clinical potential, effectively corresponding with manual measurements. Integrating IPA with HVA and IMA assessments provides a comprehensive tool for automated forefoot deformity analysis, supporting hallux valgus severity classification and preoperative planning, while offering substantial time savings in high-volume clinical settings.

World Journal of OrthopedicsVol. 16(6)
Jagiellonian University (PL)
Openalex Percentile: Top 18%
Foot and Ankle Surgery
1.72
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