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

doi:10.5312/wjo.v16.i6.103832

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Jun 18, 2025 (publication date) through Jun 21, 2025

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World Journal of Orthopedics

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2218-5836

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Orthop. Jun 18, 2025; 16(6): 103832
Published online Jun 18, 2025. doi: 10.5312/wjo.v16.i6.103832

Table 1 Demographics

	Age (years)	Sex	Hallux interphalangeal angle
	Age (years)	Sex	All feet	Right feet	Left feet
Number of subjects	133	16 male (12%)/117 female (88%)	265	133	132
Range	23–81	N/A	-4.5° to 20.5°	-4.5° to 16°	-3.5° to 20.5°
Average	55.8	N/A	6.76°	6.56°	6.95°

N/A: Not applicable.

Citation: 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. World J Orthop 2025; 16(6): 103832
URL: https://www.wjgnet.com/2218-5836/full/v16/i6/103832.htm
DOI: https://dx.doi.org/10.5312/wjo.v16.i6.103832