Cross M, Smith E, Hoy D, Nolte S, Ackerman I, Fransen M, Bridgett L, Williams S, Guillemin F, Hill CL, Laslett LL, Jones G, Cicuttini F, Osborne R, Vos T, Buchbinder R, Woolf A, March L. The global burden of hip and knee osteoarthritis: estimates from the global burden of disease 2010 study. Ann Rheum Dis. 2014 Jul;73(7):1323–30. https://doi.org/10.1136/annrheumdis-2013-204763. Epub 2014 Feb 19. PMID: 24553908.
Arden, N., & Nevitt, M. C. (2006). Osteoarthritis: Epidemiology. Best Practice & Research Clinical Rheumatology, 20(1), 3–25. https://doi.org/10.1016/j.berh.2005.09.007
https://www.market-scope.com/pages/reports/orthopedic?page=1. Available from: https://www.market-scope.com/pages/reports/orthopedic?page=1.
https://axiommrc.com/product/1735-joint-replacement-market-report. Available from: https://axiommrc.com/product/1735-joint-replacement-marketreport.
Vaidya SV, Jogani AD, Pachore JA, Armstrong R, Vaidya CS. India Joining the World of Hip and Knee Registries: Present Status-A Leap Forward. Indian J Orthop. 2020 Sep 16;55(Suppl 1):46–55. https://doi.org/10.1007/s43465-020-00251-y. PMID: 34122754; PMCID: PMC8149501.
Fukutani N, Iijima H, Aoyama T, Yamamoto Y, Hiraoka M, Miyanobu K, Jinnouchi M, Kaneda E, Tsuboyama T, Matsuda S. Knee pain during activities of daily living and its relationship with physical activity in patients with early and severe knee osteoarthritis. Clin Rheumatol. 2016 Sep;35(9):2307–16. https://doi.org/10.1007/s10067-016-3251-8. Epub 2016 Apr 4. PMID: 27041381.
Wluka AE, Lombard CB, Cicuttini FM. Tackling obesity in knee osteoarthritis. Nat Rev Rheumatol. 2013 Apr;9(4):225–35. https://doi.org/10.1038/nrrheum.2012.224. Epub 2012 Dec 18. PMID: 23247649.
Bouchouras G, Patsika G, Hatzitaki V, Kellis E. Kinematics and knee muscle activation during sit-to-stand movement in women with knee osteoarthritis. Clin Biomech (Bristol, Avon). 2015 Jul;30(6):599–607. https://doi.org/10.1016/j.clinbiomech.2015.03.025. Epub 2015 Mar 30. PMID: 25846323.
Baliunas AJ, Hurwitz DE, Ryals AB, Karrar A, Case JP, Block JA, Andriacchi TP. Increased knee joint loads during walking are present in subjects with knee osteoarthritis. Osteoarthritis Cartilage. 2002 Jul;10(7):573–9. https://doi.org/10.1053/joca.2002.0797. PMID: 12127838.
Article CAS PubMed Google Scholar
Hinman RS, Bennell KL, Metcalf BR, Crossley KM. Delayed onset of quadriceps activity and altered knee joint kinematics during stair stepping in individuals with knee osteoarthritis. Arch Phys Med Rehabil. 2002 Aug;83(8):1080–6. https://doi.org/10.1053/apmr.2002.33068. PMID: 12161828.
KELLGREN JH, LAWRENCE JS. Radiological assessment of rheumatoid arthritis. Ann Rheum Dis. 1957 Dec;16(4):485–93. https://doi.org/10.1136/ard.16.4.485. PMID: 13498603; PMCID: PMC1006994.
Article CAS PubMed PubMed Central Google Scholar
Shamir L, Ling SM, Scott W, Hochberg M, Ferrucci L, Goldberg IG. Early detection of radiographic knee osteoarthritis using computer-aided analysis. Osteoarthritis Cartilage. 2009 Oct;17(10):1307–12. https://doi.org/10.1016/j.joca.2009.04.010. Epub 2009 Apr 22. PMID: 19426848; PMCID: PMC2753739.
Article CAS PubMed PubMed Central Google Scholar
Shamir L, Rahimi S, Orlov N, Ferrucci L, Goldberg IG. Progression analysis and stage discovery in continuous physiological processes using image computing. EURASIP J Bioinform Syst Biol. 2010;2010(1):107036. https://doi.org/10.1155/2010/107036. Epub 2010 Jun 30. PMID: 20672025; PMCID: PMC3171360.
Article PubMed PubMed Central Google Scholar
Tiulpin A, Thevenot J, Rahtu E, Lehenkari P, Saarakkala S. Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach. Sci Rep. 2018 Jan 29;8(1):1727. https://doi.org/10.1038/s41598-018-20132-7. PMID: 29379060; PMCID: PMC5789045.
Esteva A, Robicquet A, Ramsundar B, Kuleshov V, DePristo M, Chou K, Cui C, Corrado G, Thrun S, Dean J. A guide to deep learning in healthcare. Nat Med. 2019 Jan;25(1):24–29. https://doi.org/10.1038/s41591-018-0316-z. Epub 2019 Jan 7. PMID: 30617335.
Article CAS PubMed Google Scholar
Norman B, Pedoia V, Majumdar S. Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry. Radiology. 2018 Jul;288(1):177–185. https://doi.org/10.1148/radiol.2018172322. Epub 2018 Mar 27. PMID: 29584598; PMCID: PMC6013406.
Pedoia V, Norman B, Mehany SN, Bucknor MD, Link TM, Majumdar S. 3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior cruciate ligament subjects. J Magn Reson Imaging. 2019 Feb;49(2):400–10. https://doi.org/10.1002/jmri.26246. Epub 2018 Oct 10. PMID: 30306701; PMCID: PMC6521715.
Tiulpin, A., Klein, S., & Bierma-Zeinstra, S. M. A. (2019). Multimodal machine learning-based knee osteoarthritis progression prediction from plain radiographs and clinical data. Scientific Reports. https://doi.org/10.1038/s41598-019-56527-3
Article PubMed PubMed Central Google Scholar
Antony J, Mcguinness K, Connor N, Moran K. Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks. In: International Conference on Pattern Recognition, ICPR 2016; 2016. Available from: https://arxiv.org/abs/1609.02469
Norman B, Pedoia V, Noworolski A, Link TM, Majumdar S. Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs. J Digit Imaging. 2019 Jun;32(3):471–77. https://doi.org/10.1007/s10278-018-0098-3. PMID: 30306418; PMCID: PMC6499841.
Article PubMed Central Google Scholar
Xue Y, Zhang R, Deng Y, Chen K, Jiang T. A preliminary examination of the diagnostic value of deep learning in hip osteoarthritis. PLoS One. 2017 Jun 2;12(6):e0178992. https://doi.org/10.1371/journal.pone.0178992. PMID: 28575070; PMCID: PMC5456368.
Article PubMed PubMed Central Google Scholar
Howard JP, Fisher L, Shun-Shin MJ, Keene D, Arnold AD, Ahmad Y, Cook CM, Moon JC, Manisty CH, Whinnett ZI, Cole GD, Rueckert D, Francis DP. Cardiac Rhythm Device Identification Using Neural Networks. JACC Clin Electrophysiol. 2019 May;5(5):576–86. https://doi.org/10.1016/j.jacep.2019.02.003. Epub 2019 Mar 27. PMID: 31122379; PMCID: PMC6537849.
Article PubMed PubMed Central Google Scholar
Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017 Feb 2;542(7639):115–8. https://doi.org/10.1038/nature21056. Epub 2017 Jan 25. Erratum in: Nature. 2017 Jun 28;546(7660):686. https://doi.org/10.1038/nature22985. PMID: 28117445; PMCID: PMC8382232.
Article CAS PubMed PubMed Central Google Scholar
Antony J, McGuinness K, Moran K, O’Connor NE. Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity Using Convolutional Neural Networks. In: Perner, P. (eds) Machine Learning and Data Mining in Pattern Recognition. MLDM 2017. Lecture Notes in Computer Science. 2017; vol 10358. Springer, Cham. https://doi.org/10.1007/978-3-319-62416-7_27
Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017 Feb 2;542(7639):115–8. https://doi.org/10.1038/nature21056. Epub 2017 Jan 25. Erratum in: Nature. 2017 Jun 28;546(7660):686. https://doi.org/10.1038/nature22985. PMID: 28117445; PMCID: PMC8382232.
Du, Y., Shan, J., Almajalid, R., Alon, T., & Zhang, M. (2018). Using whole knee cartilage damage index to predict knee osteoarthritis: A two-year longitudinal study. IEEE International Conference on Bioinformatics and Biomedicine (BIBM)., 2018, 623–28. https://doi.org/10.1109/BIBM.2018.8621530
Du Y, Shan J, Almajalid R, Zhang M. Knee Osteoarthritis Severity Level Classification Using Whole Knee Cartilage Damage Index and ANN. 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE). 2018; p. 19–21. https://doi.org/10.1145/3278576.3278585.
J. Antony, K. McGuinness, N. E. O'Connor and K. Moran, "Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks," 2016 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016, pp. 1195–200, https://doi.org/10.1109/ICPR.2016.7899799. keywords: ,
Belete, S. C., Batta, V., & Kunz, H. (2021). Automated classification of total knee replacement prosthesis on plain film radiograph using a deep convolutional neural network. Informatics in Medicine Unlocked, 25, 100669. https://doi.org/10.1016/j.imu.2021.100669
Tan, J. S., Tippaya, S., Binnie, T., Davey, P., Napier, K., Caneiro, J. P., Kent, P., Smith, A., O’Sullivan, P., & Campbell, A. (2022). Predicting knee joint kinematics from wearable sensor data in people with knee osteoarthritis and clinical considerations for future machine learning models. Sensors, 22(2), 446. https://doi.org/10.3390/s22020446
Article PubMed PubMed Central Google Scholar
Lee LS, Chan PK, Wen C, Fung WC, Cheung A, Chan VWK, Cheung MH, Fu H, Yan CH, Chiu KY. Artificial intelligence in diagnosis of knee osteoarthritis and prediction of arthroplasty outcomes: a review. Arthroplasty. 2022 Mar 5;4(1):16. https://doi.org/10.1186/s42836-022-00118-7. PMID: 35246270; PMCID: PMC8897859.
Article PubMed PubMed Central Google Scholar
Leung K, Zhang B, Tan J, Shen Y, Geras KJ, Babb JS, Cho K, Chang G, Deniz CM. Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative. Radiology. 2020 Sep;296(3):584–93. https://doi.org/10.1148/radiol.2020192091. Epub 2020 Jun 23. PMID: 32573386; PMCID: PMC7434649.
Pongsakonpruttikul N, Angthong C, Kittichai V, Chuwongin S, Puengpipattrakul P, Thongpat P, Boonsang S, Tongloy T. Artificial intelligence assistance in radiographic detection and classification of knee osteoarthritis and its severity: a cross-sectional diagnostic study. Eur Rev Med Pharmacol Sci. 2022 Mar;26(5):1549–58. https://doi.org/10.26355/eurrev_202203_28220. PMID: 35302199.
留言 (0)