| Machine learning and conventional statistics: making sense of the differences C Ley, RK Martin, A Pareek, A Groll, R Seil, T Tischer Knee Surgery, Sports Traumatology, Arthroscopy 30 (3), 753-757, 2022 | 95 | 2022 |
| Artificial intelligence and machine learning: an introduction for orthopaedic surgeons RK Martin, C Ley, A Pareek, A Groll, T Tischer, R Seil Knee surgery, sports traumatology, arthroscopy 30 (2), 361-364, 2022 | 47 | 2022 |
| Predicting anterior cruciate ligament reconstruction revision: a machine learning analysis utilizing the Norwegian Knee Ligament Register RK Martin, S Wastvedt, A Pareek, A Persson, H Visnes, AM Fenstad, ... JBJS 104 (2), 145-153, 2022 | 46 | 2022 |
| Supervised machine learning and associated algorithms: applications in orthopedic surgery JA Pruneski, A Pareek, KN Kunze, RK Martin, J Karlsson, JF Oeding, ... Knee Surgery, Sports Traumatology, Arthroscopy 31 (4), 1196-1202, 2023 | 34 | 2023 |
| A porcine knee model is valid for use in the evaluation of arthroscopic skills: a pilot study RK Martin, D Gillis, J Leiter, JS Shantz, P MacDonald Clinical Orthopaedics and Related Research® 474, 965-970, 2016 | 34 | 2016 |
| Artificial intelligence in orthopedics: three strategies for deep learning with orthopedic specific imaging S Ko, A Pareek, DH Ro, Y Lu, CL Camp, RK Martin, AJ Krych Knee Surgery, Sports Traumatology, Arthroscopy, 1-4, 2022 | 29 | 2022 |
| Machine learning algorithm to predict anterior cruciate ligament revision demonstrates external validity RK Martin, S Wastvedt, A Pareek, A Persson, H Visnes, AM Fenstad, ... Knee Surgery, Sports Traumatology, Arthroscopy 30 (2), 368-375, 2022 | 29 | 2022 |
| Treatment of first-time patellar dislocations and evaluation of risk factors for recurrent patellar instability RK Martin, DP Leland, AJ Krych, DL Dahm Sports medicine and arthroscopy review 27 (4), 130-135, 2019 | 22 | 2019 |
| The development and deployment of machine learning models JA Pruneski, RJ Williams III, BU Nwachukwu, PN Ramkumar, AM Kiapour, ... Knee Surgery, Sports Traumatology, Arthroscopy 30 (12), 3917-3923, 2022 | 19 | 2022 |
| Natural language processing: using artificial intelligence to understand human language in orthopedics JA Pruneski, A Pareek, BU Nwachukwu, RK Martin, BT Kelly, J Karlsson, ... Knee Surgery, Sports Traumatology, Arthroscopy 31 (4), 1203-1211, 2023 | 18 | 2023 |
| Epidemiological trends of anterior cruciate ligament reconstruction in a Canadian province Y Zhang, J McCammon, RK Martin, HJ Prior, J Leiter, PB MacDonald Clinical journal of sport medicine 30 (6), e207-e213, 2020 | 18 | 2020 |
| Concussions in community-level rugby: risk, knowledge, and attitudes RK Martin, TJ Hrubeniuk, CD Witiw, P MacDonald, J Leiter Sports health 9 (4), 312-317, 2017 | 18 | 2017 |
| A practical guide to the development and deployment of deep learning models for the Orthopedic surgeon: part I JF Oeding, RJ Williams, BU Nwachukwu, RK Martin, BT Kelly, J Karlsson, ... Knee Surgery, Sports Traumatology, Arthroscopy 31 (2), 382-389, 2023 | 16 | 2023 |
| A practical guide to the development and deployment of deep learning models for the orthopedic surgeon: part II JF Oeding, RJ Williams III, CL Camp, J Sanchez‐Sotelo, BT Kelly, ... Knee Surgery, Sports Traumatology, Arthroscopy 31 (5), 1635-1643, 2023 | 15 | 2023 |
| Predicting subjective failure of ACL reconstruction: a machine learning analysis of the Norwegian Knee Ligament Register and patient reported outcomes RK Martin, S Wastvedt, A Pareek, A Persson, H Visnes, AM Fenstad, ... Journal of ISAKOS 7 (3), 1-9, 2022 | 15 | 2022 |
| Picking apart p values: common problems and points of confusion SJ Madjarova, RJ Williams III, BU Nwachukwu, RK Martin, J Karlsson, ... Knee Surgery, Sports Traumatology, Arthroscopy 30 (10), 3245-3248, 2022 | 12 | 2022 |
| Injuries in elite women’s ski jumping: a cohort study following three International Ski Federation (FIS) World Cup seasons from 2017–2018 to 2019–2020 OMR Stenseth, SF Barli, RK Martin, L Engebretsen British journal of sports medicine 56 (1), 35-40, 2022 | 12 | 2022 |
| Machine learning in sports medicine: need for improvement RK Martin, A Pareek, AJ Krych, HM Kremers, L Engebretsen Journal of ISAKOS 6 (1), 1-2, 2021 | 12 | 2021 |
| Injuries in elite women’s ski jumping: surveillance through the 2017–18 FIS World Cup season OMR Stenseth, SF Barli, RK Martin, L Engebretsen British journal of sports medicine 54 (1), 44-48, 2020 | 12 | 2020 |
| Posterior cruciate ligament all-inside reconstruction RK Martin, HP Melugin, B Freychet, AJ Krych, MJ Stuart, BA Levy Sports medicine and arthroscopy review 28 (1), 18-22, 2020 | 11 | 2020 |
