External validation of a pre-trained hybrid convolutional neural network in radiographers agreement of positioning in lateral knee radiographs

AI decision support can enhance radiographic quality assessment consistency while preserving radiographers' independent clinical judgment.

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Publication Details

Journal
Radiography
Published
2026-02-21
DOI
https://doi.org/10.1016/j.radi.2026.103359
Primary Topic
Total Knee Arthroplasty Outcomes
Type
article
Field-Weighted Citation Impact
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article

External validation of a pre-trained hybrid convolutional neural network in radiographers agreement of positioning in lateral knee radiographs

Simon Lysdahlgaard, M.R.V. Pedersen, J. Jensen, K.W. Kusk et al.
Radiography
Total Knee Arthroplasty Outcomes
article

External validation of a pre-trained hybrid convolutional neural network in radiographers agreement of positioning in lateral knee radiographs

Simon Lysdahlgaard, M.R.V. Pedersen, J. Jensen, K.W. Kusk, S.B. Hansen, M.W. Kusk
article en

Abstract

AI decision support can enhance radiographic quality assessment consistency while preserving radiographers' independent clinical judgment.

RadiographyVol. 32(3)
University College South Denmark (DK), Odense University Hospital (DK), Hospital South West Jutland (DK), VIA University College (DK)
Peace, Justice and strong institutions
Openalex Percentile: Top 48%
Total Knee Arthroplasty Outcomes
DOIOpen Access PDFOpenAlex
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