Search Results - "Haeberle, Heather S."
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Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions
Published in Current reviews in musculoskeletal medicine (01-02-2020)“…Purpose of Review With the unprecedented advancement of data aggregation and deep learning algorithms, artificial intelligence (AI) and machine learning (ML)…”
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Remote Patient Monitoring Using Mobile Health for Total Knee Arthroplasty: Validation of a Wearable and Machine Learning–Based Surveillance Platform
Published in The Journal of arthroplasty (01-10-2019)“…Recent technologic advances capable of measuring outcomes after total knee arthroplasty (TKA) are critical in quantifying value-based care. Traditionally…”
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3
Social Media and Total Joint Arthroplasty: An Analysis of Patient Utilization on Instagram
Published in The Journal of arthroplasty (01-09-2017)“…Abstract Objectives The purpose of this observational study was to investigate and analyze the nature of the shared content of lower extremity total joint…”
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4
Reduced bone loss in a murine model of postmenopausal osteoporosis lacking complement component 3
Published in Journal of orthopaedic research (01-01-2018)“…ABSTRACT The growing field of osteoimmunology seeks to unravel the complex interdependence of the skeletal and immune systems. Notably, we and others have…”
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Artificial intelligence-based applications in shoulder surgery leaves much to be desired: a systematic review
Published in JSES reviews, reports, and techniques (01-05-2023)“…Artificial intelligence (AI) aims to simulate human intelligence using automated computer algorithms. There has been a rapid increase in research applying AI…”
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6
The Volume-Value Relationship in Shoulder Arthroplasty
Published in The Orthopedic clinics of North America (01-10-2018)“…Improving value in shoulder arthroplasty has gained increasing importance as procedure volume increases. To enhance the value of shoulder arthroplasty, an…”
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Clinical Utility of an MRI-Based Classification System for Operative Versus Nonoperative Management of Ulnar Collateral Ligament Tears: A 2-Year Follow-up Study
Published in Orthopaedic journal of sports medicine (01-04-2019)“…Background: A recently introduced classification system of medial ulnar collateral ligament (UCL) tears accounting for location and severity has demonstrated…”
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Fixed and Variable Relationship Models to Define the Volume-Value Relationship in Spinal Fusion Surgery: A Macroeconomic Analysis Using Evidence-Based Thresholds
Published in Neurospine (01-09-2018)“…Objective Increased surgical volume has been associated with improved patient outcomes at the surgeon and hospital level. To date, clinically meaningful…”
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Sports Medicine and Artificial Intelligence: A Primer
Published in The American journal of sports medicine (01-03-2022)“…Artificial intelligence (AI) represents the fourth industrial revolution and the next frontier in medicine poised to transform the field of orthopaedics and…”
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10
Machine Learning and Primary Total Knee Arthroplasty: Patient Forecasting for a Patient-Specific Payment Model
Published in The Journal of arthroplasty (01-12-2018)“…Value-based and patient-specific care represent 2 critical areas of focus that have yet to be fully reconciled by today’s bundled care model. Using a…”
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11
Development and Validation of a Machine Learning Algorithm After Primary Total Hip Arthroplasty: Applications to Length of Stay and Payment Models
Published in The Journal of arthroplasty (01-04-2019)“…Value-based payment programs in orthopedics, specifically primary total hip arthroplasty (THA), present opportunities to apply forecasting machine learning…”
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Clinical and Research Medical Applications of Artificial Intelligence
Published in Arthroscopy (01-05-2021)“…Artificial intelligence (AI), including machine learning (ML), has transformed numerous industries through newfound efficiencies and supportive…”
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Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Review
Published in The Journal of arthroplasty (01-10-2019)“…Driven by the rapid development of big data and processing power, artificial intelligence and machine learning (ML) applications are poised to expand…”
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Deep Learning Preoperatively Predicts Value Metrics for Primary Total Knee Arthroplasty: Development and Validation of an Artificial Neural Network Model
Published in The Journal of arthroplasty (01-10-2019)“…The objective is to develop and validate an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and discharge…”
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Artificial Intelligence to Identify Arthroplasty Implants From Radiographs of the Knee
Published in The Journal of arthroplasty (01-03-2021)“…Revisions and reoperations for patients who have undergone total knee arthroplasty (TKA), unicompartmental knee arthroplasty (UKA), and distal femoral…”
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No Difference in Outcomes 12 and 24 Months After Lower Extremity Total Joint Arthroplasty: A Systematic Review and Meta-Analysis
Published in The Journal of arthroplasty (01-07-2018)“…A better understanding of how patient-reported outcome measures (PROMs) change after total knee and hip arthroplasties (TKA and THA) is needed to support the…”
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Artificial Intelligence and Arthroplasty at a Single Institution: Real-World Applications of Machine Learning to Big Data, Value-Based Care, Mobile Health, and Remote Patient Monitoring
Published in The Journal of arthroplasty (01-10-2019)“…Driven by the recent ubiquity of big data and computing power, we established the Machine Learning Arthroplasty Laboratory (MLAL) to examine and apply…”
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One-Year Outcomes of the Anatomical Front and Back Reconstruction for Scapholunate Dissociation
Published in The Journal of hand surgery (American ed.) (01-04-2024)“…Anatomical front and back (ANAFAB) reconstruction addresses the critical volar and dorsal ligaments associated with scapholunate dissociation. We hypothesized…”
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Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model
Published in Journal of orthopaedic trauma (01-07-2019)“…OBJECTIVES:With the transition to a value-based model of care delivery, bundled payment models have been implemented with demonstrated success in elective…”
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Preoperative Prediction of Value Metrics and a Patient-Specific Payment Model for Primary Total Hip Arthroplasty: Development and Validation of a Deep Learning Model
Published in The Journal of arthroplasty (01-10-2019)“…The primary objective was to develop and test an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and…”
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