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Cited by in CrossRef
For: 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 [PMID: 40547248 DOI: 10.5312/wjo.v16.i6.103832]
URL: https://www.wjgnet.com/2218-5836/full/v16/i6/103832.htm
Number Citing Articles
1
Ahsan Aziz, Yongwon Cho, Woo Young Jang. Applications of Artificial Intelligence in Pediatric Orthopedics, Oncology, and Foot and Ankle Disorders: Enhancing Diagnosis and Treatment Precision. Journal of the Korean Orthopaedic Association 2025; 60(4) doi: 10.4055/jkoa.2025.60.4.241
2
Osama M. Embaby, Abdulaziz F. Aljehani, Mohamed M. Elalfy. Artificial intelligence in foot and ankle surgery: Current applications, limitations and future directions. The Journal of Foot and Ankle Surgery 2026;  doi: 10.1053/j.jfas.2026.09.008
3
Siddhartha Sharma, Amit Kumar, Ashima Sekhri, Sandeep Patel, Vishal Kumar, Mandeep Dhillon. Evaluation of Explainable Deep Learning Models for Clinical Image-Based Screening of Hallux Valgus. Indian Journal of Orthopaedics 2026;  doi: 10.1007/s43465-026-01850-x