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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Chen, Min Cai, Ruyi Zhang, Aixia Chi, Xia Qian, Jun |
| Abstract | Objective To clarify the efficacy of artificial intelligence (AI)-assisted imaging in the diagnosis of developmental dysplasia of the hip (DDH) through a meta-analysis. Methods Relevant literature on AI for early DDH diagnosis was searched in PubMed, Web of Science, Embase, and The Cochrane Library databases until April 4, 2024. The Quality Assessment of Diagnostic Accuracy Studies tool was used to assess the quality of included studies. Revman5.4 and StataSE-64 software were used to calculate the combined sensitivity, specificity, AUC value, and DOC value of AI-assisted imaging for DDH diagnosis. Results The meta-analysis included 13 studies (6 prospective and 7 retrospective) with 28 AI models and a total of 10,673 samples. The summary sensitivity, specificity, AUC value, and DOC value were 99.0% (95% CI: 97.0-100.0%), 94.0% (95% CI: 89.0–96.0%), 99.0% (95% CI: 98.0-100.0%), and 1342 (95% CI: 469–3842), respectively. Conclusion AI-assisted imaging demonstrates high diagnostic efficacy for DDH detection, improving the accuracy of early DDH imaging examination. More prospective studies are needed to further confirm the value of AI-assisted imaging for early DDH diagnosis. |
| Related Links | https://josr-online.biomedcentral.com/counter/pdf/10.1186/s13018-024-05003-4.pdf |
| Ending Page | 11 |
| Page Count | 11 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| DOI | 10.1186/s13018-024-05003-4 |
| Journal | Journal of Orthopaedic Surgery and Research |
| Issue Number | 1 |
| Volume Number | 19 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-08-29 |
| Access Restriction | Open |
| Subject Keyword | Orthopedics Surgical Orthopedics Artificial intelligence Diagnostic value Developmental dysplasia of the hip Meta-analysis |
| Content Type | Text |
| Resource Type | Review |
| Subject | Surgery Orthopedics and Sports Medicine |
| Journal Impact Factor | 2.8/2023 |
| 5-Year Journal Impact Factor | 3/2023 |
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