2023
DOI: 10.3390/jcm12175498
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The Role and Efficiency of an AI-Powered Software in the Evaluation of Lower Limb Radiographs before and after Total Knee Arthroplasty

Stefano Pagano,
Karolina Müller,
Julia Götz
et al.

Abstract: The rapid evolution of artificial intelligence (AI) in medical imaging analysis has significantly impacted musculoskeletal radiology, offering enhanced accuracy and speed in radiograph evaluations. The potential of AI in clinical settings, however, remains underexplored. This research investigates the efficiency of a commercial AI tool in analyzing radiographs of patients who have undergone total knee arthroplasty. The study retrospectively analyzed 200 radiographs from 100 patients, comparing AI software meas… Show more

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Cited by 2 publications
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“…A further recent study by Pagano et al [22], evaluating the role and efficiency of AI-powered software in total knee arthroplasty, showed excellent agreement with expert metrics in most knee angles and axial alignments assessed; however, it indicates limitations in the assessment of JLCA, the Mikulicz line, and in patients with a body mass index higher than 30 kg/m 2 , which is comparable to our findings.…”
Section: Discussionsupporting
confidence: 91%
“…A further recent study by Pagano et al [22], evaluating the role and efficiency of AI-powered software in total knee arthroplasty, showed excellent agreement with expert metrics in most knee angles and axial alignments assessed; however, it indicates limitations in the assessment of JLCA, the Mikulicz line, and in patients with a body mass index higher than 30 kg/m 2 , which is comparable to our findings.…”
Section: Discussionsupporting
confidence: 91%