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has been cited by the following article:

• TITLE: Research on the Diagnostic Efficacy of AI Software Combined with Thin-Slice CT in Occult Toe Fractures

  AUTHORS: Dazhi Nong, Kangying Pang, Lijun Luo, Shiwen Luo, Xinjuan Deng, Yuhua Guo

  KEYWORDS: AI Software, Thin-Slice CT, Occult Toe Fractures, Diagnostic Efficacy

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.18 No.4, April 22, 2025

  ABSTRACT: Objective: To evaluate the efficacy of AI software combined with thin-slice CT in the diagnosis of occult toe fractures. Methods: A retrospective analysis was conducted on imaging data from 104 patients with suspected toe fractures at the Third People’s Hospital of Nanning from January 2017 to December 2024. Comparisons were made between CT manual diagnosis and AI-assisted diagnosis. Statistical analysis was performed using SPSS 27.0 to compare the detection rates and diagnostic efficacy of the two methods. Results: The detection rates of AI-assisted diagnosis were significantly higher than those of CT manual diagnosis across all fracture sites. In metatarsal fractures, AI-assisted diagnosis detected 30 cases in the first metatarsal, 25 in the second, 22 in the third, 20 in the fourth, and 18 in the fifth, all higher than the 25, 20, 18, 15, and 12 cases detected by CT manual diagnosis (P