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

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Figure 6 Scatter Plots with regression lines showing correlation. A: Between the two manual measurements [Orthopedic surgeons (O_A2vs O_B)]; B: Between the artificial intelligence (AI)-generated measurements and the manual measurement of the first orthopedist (AI vs O_A2); C: Between the AI-generated measurements and the manual measurement of the second orthopedist (AI vs O_B). The linear regression line indicates the relationship strength, where points closer to the line reflect stronger alignment between AI and manual measurements. AI: Artificial intelligence.

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