188 related articles for article (PubMed ID: 34671691)
1. Application of Machine Learning Algorithms to Predict Clinically Meaningful Improvement After Arthroscopic Anterior Cruciate Ligament Reconstruction.
Kunze KN; Polce EM; Ranawat AS; Randsborg PH; Williams RJ; Allen AA; Nwachukwu BU; ; Pearle A; Stein BS; Dines D; Kelly A; Kelly B; Rose H; Maynard M; Strickland S; Coleman S; Hannafin J; MacGillivray J; Marx R; Warren R; Rodeo S; Fealy S; O'Brien S; Wickiewicz T; Dines JS; Cordasco F; Altcheck D
Orthop J Sports Med; 2021 Oct; 9(10):23259671211046575. PubMed ID: 34671691
[TBL] [Abstract][Full Text] [Related]
2. Machine Learning Algorithms Predict Functional Improvement After Hip Arthroscopy for Femoroacetabular Impingement Syndrome in Athletes.
Kunze KN; Polce EM; Clapp I; Nwachukwu BU; Chahla J; Nho SJ
J Bone Joint Surg Am; 2021 Jun; 103(12):1055-1062. PubMed ID: 33877058
[TBL] [Abstract][Full Text] [Related]
3. Preoperative Short Form Health Survey Score Is Predictive of Return to Play and Minimal Clinically Important Difference at a Minimum 2-Year Follow-up After Anterior Cruciate Ligament Reconstruction.
Nwachukwu BU; Chang B; Voleti PB; Berkanish P; Cohn MR; Altchek DW; Allen AA; Williams RJ
Am J Sports Med; 2017 Oct; 45(12):2784-2790. PubMed ID: 28727937
[TBL] [Abstract][Full Text] [Related]
4. Predicting the Objective and Subjective Clinical Outcomes of Anterior Cruciate Ligament Reconstruction: A Machine Learning Analysis of 432 Patients.
Ye Z; Zhang T; Wu C; Qiao Y; Su W; Chen J; Xie G; Dong S; Xu J; Zhao J
Am J Sports Med; 2022 Dec; 50(14):3786-3795. PubMed ID: 36285651
[TBL] [Abstract][Full Text] [Related]
5. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
6. Effect of Preoperative Imaging and Patient Factors on Clinically Meaningful Outcomes and Quality of Life After Osteochondral Allograft Transplantation: A Machine Learning Analysis of Cartilage Defects of the Knee.
Ramkumar PN; Karnuta JM; Haeberle HS; Rodeo SA; Nwachukwu BU; Williams RJ
Am J Sports Med; 2021 Jul; 49(8):2177-2186. PubMed ID: 34048288
[TBL] [Abstract][Full Text] [Related]
7. Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting Clinically Significant Functional Improvement in a Mixed Population of Primary Hip Arthroscopy.
Kunze KN; Polce EM; Nwachukwu BU; Chahla J; Nho SJ
Arthroscopy; 2021 May; 37(5):1488-1497. PubMed ID: 33460708
[TBL] [Abstract][Full Text] [Related]
8. External Validation of a Machine Learning Algorithm for Predicting Clinically Meaningful Functional Improvement After Arthroscopic Hip Preservation Surgery.
Kunze KN; Kaidi A; Madjarova S; Polce EM; Ranawat AS; Nawabi DH; Kelly BT; Nho SJ; Nwachukwu BU
Am J Sports Med; 2022 Nov; 50(13):3593-3599. PubMed ID: 36135373
[TBL] [Abstract][Full Text] [Related]
9. Development of machine learning algorithms to predict achievement of minimal clinically important difference for the KOOS-PS following total knee arthroplasty.
Katakam A; Karhade AV; Collins A; Shin D; Bragdon C; Chen AF; Melnic CM; Schwab JH; Bedair HS
J Orthop Res; 2022 Apr; 40(4):808-815. PubMed ID: 34275163
[TBL] [Abstract][Full Text] [Related]
10. Machine Learning Algorithms Predict Prolonged Opioid Use in Opioid-Naïve Primary Hip Arthroscopy Patients.
Kunze KN; Polce EM; Alter TD; Nho SJ
J Am Acad Orthop Surg Glob Res Rev; 2021 May; 5(5):e21.00093-8. PubMed ID: 34032690
[TBL] [Abstract][Full Text] [Related]
11. Association Between Preoperative Mental Health and Clinically Meaningful Outcomes After Osteochondral Allograft for Cartilage Defects of the Knee: A Machine Learning Analysis.
Ramkumar PN; Karnuta JM; Haeberle HS; Owusu-Akyaw KA; Warner TS; Rodeo SA; Nwachukwu BU; Williams RJ
Am J Sports Med; 2021 Mar; 49(4):948-957. PubMed ID: 33555931
[TBL] [Abstract][Full Text] [Related]
12. Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty.
Kunze KN; Karhade AV; Sadauskas AJ; Schwab JH; Levine BR
J Arthroplasty; 2020 Aug; 35(8):2119-2123. PubMed ID: 32265141
[TBL] [Abstract][Full Text] [Related]
13. Application of Machine Learning for Predicting Clinically Meaningful Outcome After Arthroscopic Femoroacetabular Impingement Surgery.
Nwachukwu BU; Beck EC; Lee EK; Cancienne JM; Waterman BR; Paul K; Nho SJ
Am J Sports Med; 2020 Feb; 48(2):415-423. PubMed ID: 31869249
[TBL] [Abstract][Full Text] [Related]
14. Predicting subjective failure of ACL reconstruction: a machine learning analysis of the Norwegian Knee Ligament Register and patient reported outcomes.
Martin RK; Wastvedt S; Pareek A; Persson A; Visnes H; Fenstad AM; Moatshe G; Wolfson J; Engebretsen L
J ISAKOS; 2022 Jun; 7(3):1-9. PubMed ID: 36178391
[TBL] [Abstract][Full Text] [Related]
15. Anterior Laxity at 2 Years After Anterior Cruciate Ligament Reconstruction Is Comparable When Using Adjustable-Loop Suspensory Fixation and Interference Screw Fixation.
Boutsiadis A; Panisset JC; Devitt BM; Mauris F; Barthelemy R; Barth J
Am J Sports Med; 2018 Aug; 46(10):2366-2375. PubMed ID: 30015501
[TBL] [Abstract][Full Text] [Related]
16. Are articular cartilage lesions and meniscus tears predictive of IKDC, KOOS, and Marx activity level outcomes after anterior cruciate ligament reconstruction? A 6-year multicenter cohort study.
Cox CL; Huston LJ; Dunn WR; Reinke EK; Nwosu SK; Parker RD; Wright RW; Kaeding CC; Marx RG; Amendola A; McCarty EC; Spindler KP
Am J Sports Med; 2014 May; 42(5):1058-67. PubMed ID: 24647881
[TBL] [Abstract][Full Text] [Related]
17. Machine Learning Algorithms Predict Clinically Significant Improvements in Satisfaction After Hip Arthroscopy.
Kunze KN; Polce EM; Rasio J; Nho SJ
Arthroscopy; 2021 Apr; 37(4):1143-1151. PubMed ID: 33359160
[TBL] [Abstract][Full Text] [Related]
18. Influence of Preoperative Tunnel Widening On the Outcomes of a Single Stage-Only Approach to Every Revision Anterior Cruciate Ligament Reconstruction: An Analysis of 409 Consecutive Patients From the SANTI Study Group.
Pioger C; Saithna A; Rayes J; Haidar IM; Fradin T; Ngbilo C; Vieira TD; Cavaignac E; Sonnery-Cottet B
Am J Sports Med; 2021 May; 49(6):1431-1440. PubMed ID: 33689510
[TBL] [Abstract][Full Text] [Related]
19. Artificial Intelligence Predicts Cost After Ambulatory Anterior Cruciate Ligament Reconstruction.
Lu Y; Kunze K; Cohn MR; Lavoie-Gagne O; Polce E; Nwachukwu BU; Forsythe B
Arthrosc Sports Med Rehabil; 2021 Dec; 3(6):e2033-e2045. PubMed ID: 34977663
[TBL] [Abstract][Full Text] [Related]
20. How Does the Skeletal Oncology Research Group Algorithm's Prediction of 5-year Survival in Patients with Chondrosarcoma Perform on International Validation?
Bongers MER; Karhade AV; Setola E; Gambarotti M; Groot OQ; Erdoğan KE; Picci P; Donati DM; Schwab JH; Palmerini E
Clin Orthop Relat Res; 2020 Oct; 478(10):2300-2308. PubMed ID: 32433107
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
