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Author

Kai-Lan Hsu

2 papers indexed here

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Review Sep 2026

Dual-Approach AI for Pediatric Supracondylar Fractures: Multiclass Radiograph Classification with Explainable AI and Diagnostic Meta-analysis of AI-Based Computational Approaches.

RATIONALE AND OBJECTIVES Pediatric supracondylar fractures (SCFs) are the most common elbow injury in children, yet radiographic diagnosis remains challenging due to complex developmental anatomy, with initially missed fracture rates of 17-77%. Prior artificial intelligence (AI) studies have been limited to binary clas...

Che-Wei Lin, Febryan Setiawan, Syaifullah Hikmahtiyar et al. · 0 citations
Review Open access Aug 2026

Prediction of massive rotator cuff tears classified as type B or C in the Collin classification using radiographic measurements

Background Superior humeral head migration is a feature of advanced rotator cuff tears, but conventional radiographic measurements such as the acromiohumeral interval (AHI) have limitations. Evidence predicting massive tears like Collin type B or C remains scarce. This study aimed to develop and validate the acromion-h...

L. Liu, Hao-Chun Chuang, Kai-Lan Hsu et al. · 0 citations

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