Article

Deep Learning-Generated Radiographic Hip Dysplasia Parameters: Relationship to Postoperative Patient-Reported Outcome Measures

2022-08-22

Abstract excerpt

<h4>Background: </h4> Hip dysplasia (HD) causes accelerated osteoarthrosis of the acetabulum and is diagnosed through radiographic evaluation. An artificial intelligence (AI) program capable of measuring the necessary anatomical landmarks relevant to HD could reduce resource utilization, increase standardized HD screenings, and form HD outcome models. The study's aim was to evaluate the relationship between AI mea...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: d59df1a0-8313-5122-8908-d414890b261f
DOI: 10.21203/rs.3.rs-1867063/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning-Generated Radiographic Hip Dysplasia Parameters: Relationship to Postoperative Patient-Reported Outcome MeasuresDOI 10.21203/rs.3.rs-1867063/v1Read

Artificial Intelligence Improves the Accuracy of Residents in the Diagnosis of Hip Fractures –A Multicenter StudySemantic proximity Read

Deep Learning Phenotype Automation and Cohort Analyses of 1,946 Knees Using the Coronal Plane Alignment of the Knee Classification.Semantic proximity Read

Gender-specific distribution of knee morphology according to CPAK and functional phenotype classification: analysis of 8739 osteoarthritic knees prior to total knee arthroplasty using artificial intelligence.Semantic proximity Read

Evaluating Canine Hip Analysis: NANet Model for Norberg Angle PredictionSemantic proximity Read

Predicting CT-based coronal plane knee phenotype parameters using imageless navigation and machine learning.Semantic proximity Read

Intra- and interobserver agreement on radiographic phenotype in the diagnosis of canine hip dysplasia.Semantic proximity Read

Feasibility of hip dysplasia screening in primary care clinics via AI-augmented point-of-care ultrasound.Semantic proximity Read

Machine Learning Approaches to the Prediction of Osteoarthritis Phenotypes and Outcomes.Semantic proximity Read

Surgically Relevant Knee Phenotypes: The Modified Coronal Plane Alignment of the Knee System-A Deep Learning-Based Classification.Semantic proximity Read

Machine Learning-Based Diagnostic Model for Preoperative Anxiety in Elderly Patients with Hip Fractures and SHAP AnalysisSemantic proximity Read

Comparison of Artificial Intelligence and Traditional Methods in Preoperative Planning for Primary Total Hip Arthroplasty: A Systematic Review and Meta-Analysis.Semantic proximity Read

Application of artificial intelligence (AI) preoperative planning in total knee arthroplastySemantic proximity Read