| Machine learning and artificial intelligence: definitions, applications, and future directions JM Helm, AM Swiergosz, HS Haeberle, JM Karnuta, JL Schaffer, ... Current reviews in musculoskeletal medicine 13, 69-76, 2020 | 428 | 2020 |
| Development and validation of a machine learning algorithm after primary total hip arthroplasty: applications to length of stay and payment models PN Ramkumar, SM Navarro, HS Haeberle, JM Karnuta, MA Mont, ... The Journal of arthroplasty 34 (4), 632-637, 2019 | 122 | 2019 |
| Artificial intelligence and machine learning in lower extremity arthroplasty: a review HS Haeberle, JM Helm, SM Navarro, JM Karnuta, JL Schaffer, ... The Journal of arthroplasty 34 (10), 2201-2203, 2019 | 110 | 2019 |
| Deep learning preoperatively predicts value metrics for primary total knee arthroplasty: development and validation of an artificial neural network model PN Ramkumar, JM Karnuta, SM Navarro, HS Haeberle, GR Scuderi, ... The Journal of arthroplasty 34 (10), 2220-2227. e1, 2019 | 87 | 2019 |
| Enhancers: bridging the gap between gene control and human disease JM Karnuta, PC Scacheri Human molecular genetics 27 (R2), R219-R227, 2018 | 71 | 2018 |
| Preoperative prediction of value metrics and a patient-specific payment model for primary total hip arthroplasty: development and validation of a deep learning model PN Ramkumar, JM Karnuta, SM Navarro, HS Haeberle, R Iorio, MA Mont, ... The Journal of Arthroplasty 34 (10), 2228-2234. e1, 2019 | 70 | 2019 |
| Artificial intelligence to identify arthroplasty implants from radiographs of the hip JM Karnuta, HS Haeberle, BC Luu, AL Roth, RM Molloy, LM Nystrom, ... The Journal of arthroplasty 36 (7), S290-S294. e1, 2021 | 68 | 2021 |
| Clinical and research medical applications of artificial intelligence PN Ramkumar, KN Kunze, HS Haeberle, JM Karnuta, BC Luu, ... Arthroscopy: The Journal of Arthroscopic & Related Surgery 37 (5), 1694-1697, 2021 | 66 | 2021 |
| Sports medicine and artificial intelligence: a primer PN Ramkumar, BC Luu, HS Haeberle, JM Karnuta, BU Nwachukwu, ... The American Journal of Sports Medicine 50 (4), 1166-1174, 2022 | 53 | 2022 |
| Artificial intelligence to identify arthroplasty implants from radiographs of the knee JM Karnuta, BC Luu, AL Roth, HS Haeberle, AF Chen, R Iorio, JL Schaffer, ... The Journal of arthroplasty 36 (3), 935-940, 2021 | 51 | 2021 |
| The value of artificial neural networks for predicting length of stay, discharge disposition, and inpatient costs after anatomic and reverse shoulder arthroplasty JM Karnuta, JL Churchill, HS Haeberle, BU Nwachukwu, SA Taylor, ... Journal of shoulder and elbow surgery 29 (11), 2385-2394, 2020 | 51 | 2020 |
| Bundled care for hip fractures: a machine-learning approach to an untenable patient-specific payment model JM Karnuta, SM Navarro, HS Haeberle, DG Billow, VE Krebs, ... Journal of orthopaedic trauma 33 (7), 324-330, 2019 | 47 | 2019 |
| Machine learning outperforms logistic regression analysis to predict next-season NHL player injury: an analysis of 2322 players from 2007 to 2017 BC Luu, AL Wright, HS Haeberle, JM Karnuta, MS Schickendantz, ... Orthopaedic journal of sports medicine 8 (9), 2325967120953404, 2020 | 46 | 2020 |
| Ex vivo screen identifies CDK12 as a metastatic vulnerability in osteosarcoma I Bayles, M Krajewska, WD Pontius, A Saiakhova, JJ Morrow, C Bartels, ... The Journal of Clinical Investigation 129 (10), 4377-4392, 2019 | 36 | 2019 |
| Discovery of age-related protein folding stability differences in the mouse brain proteome JH Roberts, F Liu, JM Karnuta, MC Fitzgerald Journal of proteome research 15 (12), 4731-4741, 2016 | 35 | 2016 |
| Predicting inpatient payments prior to lower extremity arthroplasty using deep learning: which model architecture is best? JM Karnuta, SM Navarro, HS Haeberle, JM Helm, AF Kamath, JL Schaffer, ... The Journal of arthroplasty 34 (10), 2235-2241. e1, 2019 | 34 | 2019 |
| Can a machine learning model accurately predict patient resource utilization following lumbar spinal fusion? JM Karnuta, JL Golubovsky, HS Haeberle, PV Rajan, SM Navarro, ... The Spine Journal 20 (3), 329-336, 2020 | 33 | 2020 |
| Machine learning outperforms regression analysis to predict next-season Major League Baseball player injuries: epidemiology and validation of 13,982 player-years from … JM Karnuta, BC Luu, HS Haeberle, PM Saluan, SJ Frangiamore, ... Orthopaedic journal of sports medicine 8 (11), 2325967120963046, 2020 | 31 | 2020 |
| Discharge to the skilled nursing facility: patient risk factors and perioperative outcomes after total knee arthroplasty PN Ramkumar, C Gwam, SM Navarro, HS Haeberle, JM Karnuta, ... Annals of Translational Medicine 7 (4), 2019 | 31 | 2019 |
| & Ramkumar, PN (2020) JM Helm, AM Swiergosz, HS Haeberle, JM Karnuta, JL Schaffer, ... Machine learning and artificial intelligence: definitions, applications, and …, 0 | 29 | |
