Browsing Brage NIH by Author "Martin, Richard Kyle"
Now showing items 1-7 of 7
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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 ... -
Injuries in elite women's ski jumping: Surveillance through the 2017-18 FIS World Cup season
Stenseth, Oleane Marthea Rebne; Barli, Sindre Fløtlien; Martin, Richard Kyle; Engebretsen, Lars (Peer reviewed; Journal article, 2019)Objectives: To describe the incidence, type, aetiology and severity of injuries sustained by the International Ski Federation World Cup level female ski jumpers during the 2017–18 season. Design: Prospective cohort study. ... -
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 ... -
Rates of subjective failure after both isolated and combined posterior cruciate ligament reconstruction: A study from the Norwegian Knee Ligament Registry 2004-2021
Moatshe, Gilbert; LaPrade, Christopher M.; Fenstad, Anne Marie; Persson, Andreas; LaPrade, Matthew D.; Martin, Richard Kyle; Engebretsen, Lars; LaPrade, Robert (Peer reviewed; Journal article, 2024)Background: Outcomes after posterior cruciate ligament (PCL) reconstruction (PCLR) have been reported to be inferior to those of anterior cruciate ligament reconstruction. Furthermore, combined ligament injuries have been ...