Accuracy, Reliability, and Repeatability of a Novel Artificial Intelligence Algorithm Converting Two-Dimensional Radiographs to Three-Dimensional Bone Models for Total Knee Arthroplasty.
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| Title: | Accuracy, Reliability, and Repeatability of a Novel Artificial Intelligence Algorithm Converting Two-Dimensional Radiographs to Three-Dimensional Bone Models for Total Knee Arthroplasty. |
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| Authors: | Fernandes LR; Department of Orthopaedic Surgery, Hospital CUF Santarém, Santarém, Portugal., Arce C; Department of Orthopaedic Surgery, Hospital Pedro Hispano, Matosinhos, Portugal., Martinho G; Department of Orthopaedic Surgery, Hospital CUF Santarém, Santarém, Portugal., Campos JP; Department of Orthopaedic Surgery, Hospital Pedro Hispano, Matosinhos, Portugal., Meneghini RM; Indiana Joint Replacement Institute, Indianapolis, Indiana; Department of Orthopaedic Surgery, Indiana University School of Medicine, Indianapolis, Indiana. |
| Source: | The Journal of arthroplasty [J Arthroplasty] 2023 Oct; Vol. 38 (10), pp. 2032-2036. Date of Electronic Publication: 2022 Dec 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Taylor and Francis Country of Publication: United States NLM ID: 8703515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-8406 (Electronic) Linking ISSN: 08835403 NLM ISO Abbreviation: J Arthroplasty Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1532-8406 |
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| DOI: | 10.1016/j.arth.2022.12.007 |
