Browsing Brage NIH by Author "Pareek, Ayoosh"
Now showing items 1-6 of 6
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Ceiling Effect of the Combined Norwegian and Danish Knee Ligament Registers Limits Anterior Cruciate Ligament Reconstruction Outcome Prediction
Martin, R. Kyle; Wastvedt, Solvejg; Pareek, Ayoosh; Persson, Andreas; Visnes, Håvard; Fenstad, Anne Marie; Moatshe, Gilbert; Wolfson, Julian; Lind, Martin; Engebretsen, Lars (Peer reviewed; Journal article, 2023)Background: Clinical tools based on machine learning analysis now exist for outcome prediction after primary anterior cruciate ligament reconstruction (ACLR). Relying partly on data volume, the general principle is that ... -
External validation of the Norwegian anterior cruciate ligament reconstruction revision prediction model using patients from the STABILITY 1 Trial
Martin, Richard Kyle; Marmura, Hana; Wastvedt, Solvejg; Pareek, Ayoosh; Persson, Andreas; Moatshe, Gilbert; Bryant, Dianne; Wolfson, Julian; Engebretsen, Lars; Getgood, Alan (Peer reviewed; Journal article, 2024)Purpose: A machine learning-based anterior cruciate ligament (ACL) revision prediction model has been developed using Norwegian Knee Ligament Register (NKLR) data, but lacks external validation outside Scandinavia. This ... -
Machine learning algorithm to predict anterior cruciate ligament revision demonstrates external validity
Martin, Richard Kyle; Wastvedt, Solvejg; Pareek, Ayoosh; Persson, Andreas; Visnes, Håvard; Fenstad, Anne Marie; Moatshe, Gilbert; Wolfson, Julian; Lind, Martin; Engebretsen, Lars (Peer reviewed; Journal article, 2022)Purpose: External validation of machine learning predictive models is achieved through evaluation of model performance on different groups of patients than were used for algorithm development. This important step is ... -
Machine learning/artificial intelligence in sports medicine: State of the art and future directions
Pareek, Ayoosh; Ro, Du Hyun; Karlsson, Jón; Martin, Richard Kyle (Peer reviewed; Journal article, 2024)Machine learning (ML) is changing the way health care is practiced and recent applications of these novel statistical techniques have started to impact orthopaedic sports medicine. Machine learning enables the analysis of ... -
Predicting anterior cruciate ligament reconstruction revision: A machine learning analysis utilizing the Norwegian knee ligament register
Martin, Richard Kyle; Wastvedt, Solvejg; Pareek, Ayoosh; Persson, Andreas; Visnes, Håvard; Fenstad, Anne Marie; Moatshe, Gilbert; Wolfson, Julian; Engebretsen, Lars (Peer reviewed; Journal article, 2022)Background: Several factors are associated with an increased risk of anterior cruciate ligament (ACL) reconstruction revision. However, the ability to accurately translate these factors into a quantifiable risk of revision ... -
Predicting subjective failure of ACL reconstruction: A machine learning analysis of the Norwegian Knee Ligament Register and patient reported outcomes
Martin, Richard Kyle; Wastvedt, Solvejg; Pareek, Ayoosh; Persson, Andreas; Visnes, Håvard; Fenstad, Anne Marie; Moatshe, Gilbert; Wolfson, Julian; Engebretsen, Lars (Peer reviewed; Journal article, 2022)Objectives: Accurate prediction of outcome following anterior cruciate ligament (ACL) reconstruction is challenging, and machine learning has the potential to improve our predictive capability. The purpose of this study ...