Automated Analysis of Alignment in Long-Leg Radiographs by Using a Fully Automated Support System Based on Artificial Intelligence

Justus Schock; Daniel Truhn; Daniel B. Abrar; Dorit Merhof; Stefan Conrad; Manuel Post; Felix Mittelstrass; Christiane Kühl; Sven Nebelung

doi:10.1148/ryai.2020200198

December 23, 2020Radiology Artificial IntelligenceOpen Access

Automated Analysis of Alignment in Long-Leg Radiographs by Using a Fully Automated Support System Based on Artificial Intelligence

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Abstract

PURPOSE: To develop and validate a deep learning-based method for automatic quantitative analysis of lower-extremity alignment. MATERIALS AND METHODS: and intraclass correlation coefficients. CONCLUSION: © RSNA, 2020See also commentary by Andreisek in this issue.

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Schock et al. (2020) studied this question.

synapsesocial.com/papers/6a00c619581c6e761e77da02 https://doi.org/10.1148/ryai.2020200198

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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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