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Fully automated deep learning for knee alignment assessment in lower extremity radiographs: a cross-sectional diagnostic study

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Artificial intelligence in medicine and the disclosure of risks
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Influence of calibration on digital templating of hip arthroplasty
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Reliability of lower limb alignment measures using an established landmark-based method with a customized computer software program
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Testing for Interchangeability of Imaging Tests
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Deep Learning Preoperatively Predicts Value Metrics for Primary Total Knee Arthroplasty: Development and Validation of an Artificial Neural Network Model
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A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research
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Inter-observer variability and its correlation to experience in measurement of lower limb mechanical axis on long leg radiographs
inferredcites →https://doi.org/10.1016/j.joca.2009.10.005openalex-snapshot
A comparison of five approaches to measurement of anatomic knee alignment from radiographs
inferredcites →https://doi.org/10.1016/j.knee.2012.07.009openalex-snapshot
The long leg radiograph is a reliable method of assessing alignment when compared to computer-assisted navigation and computer tomography
inferredcites →https://doi.org/10.1016/j.knee.2015.11.013openalex-snapshot
Inter-observer and intra-observer reliability of mechanical axis alignment before and after total knee arthroplasty using long leg radiographs
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Messverfahren und Klassifikationen in der muskuloskelettalen Radiologie
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Reproducibility and Reliability of the Anatomic Axis of the Lower Extremity
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Computer-assisted analysis of lower limb geometry: higher intraobserver reliability compared to conventional method
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Deep Learning Measurement of Leg Length Discrepancy in Children Based on Radiographs
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Automated Analysis of Alignment in Long-Leg Radiographs by Using a Fully Automated Support System Based on Artificial Intelligence
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Comparison of Standard Anteroposterior Knee and Hip-to-Ankle Radiographs in Determining the Lower Limb and Implant Alignment after Total Knee Arthroplasty
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A comparison of four systems for calibration when templating for total hip replacement with digital radiography
inferredcites →https://doi.org/10.1302/1863-2548.13.180087openalex-snapshot
The reliability of full-length lower limb radiographic alignment measurements in skeletally immature youth
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Normal anatomy and variations of the proximal femur: A reappraisal with 64-slice MDCT
inferredcites →https://doi.org/10.3109/17453674.2014.1003488openalex-snapshot
Computed tomography scanogram compared to long leg radiograph for determining axial knee alignment

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Segmentation-Guided Coordinate Regression Approach for the Detection of Landmarks and the Automatic Measurement of Lower Limb Misalignment
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Automatic Measurement of Lower Limb Angles From Pre‐ and Post‐Operative X‐Ray Images Using a Variant SegNet With Compound Loss Function
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Orthopaedic surgeons display a positive outlook towards artificial intelligence: A survey among members of the AGA Society for Arthroscopy and Joint Surgery
inferred← citeshttps://doi.org/10.1002/jeo2.70080openalex-snapshot
Diagnostic performance of deep learning for leg length measurements on radiographs in leg length discrepancy: A systematic review
inferred← citeshttps://doi.org/10.1002/jeo2.70383openalex-snapshot
Artificial intelligence‐guided assessment of the hip‐knee‐ankle angle shows excellent correlation with experienced human raters
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High accuracy in lower limb alignment analysis using convolutional neural networks, with improvements needed for joint‐level metrics
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Deep learning methods for automated orthopaedic measurements in radiographs
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Artificial intelligence‐based analyses of varus leg alignment and after high tibial osteotomy show high accuracy and reproducibility
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Deep learning generated lower extremity radiographic measurements are adequate for quick assessment of knee angular alignment and leg length determination
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Optimization and Benchmarking of Image Segmentation for Improved Landmark Detection in Lower Limb X-Rays and Accurate Coronal Plane Alignment of the Knee Classification
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Additional file 1 of Fully automated measurement on coronal alignment of lower limbs using deep convolutional neural networks on radiographic images
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