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| 1 | Machine learning in orthopaedic surgery显示文摘Artificial intelligence and machine learning in orthopaedic surgery has gained mass interest over the last decade or so.In prior studies,researchers have demonstrated that machine learning in orthopaedics can be used for different applications such as fracture detection,bone tumor diagnosis,detecting hip implant mechanical loosening,and grading osteoarthritis.As time goes on,the utility of artificial intelligence and machine learning algorithms,such as deep learning,continues to grow and expand in orthopaedic surgery.The purpose of this review is to provide an understanding of the concepts of machine learning and a background of current and future orthopaedic applications of machine learning in risk assessment,outcomes assessment,imaging,and basic science fields.In most cases,machine learning has proven to be just as effective,if not more effective,than prior methods such as logistic regression in assessment and prediction.With the help of deep learning algorithms,such as artificial neural networks and convolutional neural networks,artificial intelligence in orthopaedics has been able to improve diagnostic accuracy and speed,flag the most critical and urgent patients for immediate attention,reduce the amount of human error,reduce the strain on medical professionals,and improve care.Because machine learning has shown diagnostic and prognostic uses in orthopaedic surgery,physicians should continue to research these techniques and be trained to use these methods effectively in order to improve orthopaedic treatment. | Simon P Lalehzarian Anirudh K Gowd Joseph N Liu | 2021 | World Journal of Orthopedics2021，12，9： | 4 |
| 2 | Metabolic syndrome does not affect sustained virologic response of direct-acting antivirals while hepatitis C clearance improves hemoglobin A1c显示文摘AIM To determine whether successful treatment with direc-tacting antivirals(DAA) is associated with improvements in hemoglobin A1 c(HbA1 c) and if type 2 diabetes mellitus(T2 DM) or metabolic syndrome affects sustained virologic response(SVR).METHODS We performed a retrospective analysis of all hepatitis C virus(HCV) patients at the VA Greater Los Angeles Healthcare System treated with varying DAA therapy between 2014-2016. Separate multivariable logistic regression was performed to determine predictors of HbA1 c decrease ≥ 0.5 after DAA treatment and predictors of SVR 12-wk post treatment(SVR12).RESULTS A total of 1068 patients were treated with DAA therapy between 2014-2016. The presence of T2 DM or metabolic syndrome did not adversely affect SVR12. 106 patients had both HCV and T2 DM. Within that cohort,patients who achieved SVR12 had lower mean HbA1 c pre treatment(7.35 vs 8.60,P = 0.02),and lower mean HbA1 c post-treatment compared to non-responders(6.55 vs 8.61,P = 0.01). The mean reduction in HbA1 c after treatment was greater for those who achieved SVR12 than for non-responders(0.79 vs 0.01,P = 0.03). In adjusted models,patients that achieved SVR12 were more likely to have a HbA1 c decrease of ≥ 0.5 than those that did not achieve SVR12(adjusted OR = 7.24,95%CI: 1.22-42.94). CONCLUSION In HCV patients with T2 DM,successful treatment with DAA was associated with a significant reduction in HbA1 c suggesting that DAA may have a role in improving insulin sensitivity. Furthermore,the presence of T2 DM or metabolic syndrome does not adversely affect SVR12 rates in patients treated with DAA. | Tien S Dong Elizabeth S Aby Jihane N Benhammou Jenna Kawamoto Steven-Huy Han Folasade P May Joseph R Pisegna | 2018 | World Journal of Hepatology2018，10，9： | 4 |
| 3 | Sentinel-lymph-node resection compared with conventional axillary-lymph-node dissection in clinically node-negative patients with breast cancer: overall survival findings from the NSABP B-32 randomised phase 3 trial显示文摘 | David N Krag Stewart J Anderson Thomas B Julian Ann M Brown Seth P Harlow Joseph P Costantino Takamaru Ashikaga Donald L Weaver Eleftherios P Mamounas Lynne M Jalovec Thomas G Frazier R Dirk Noyes André Robidoux Hugh MC Scarth Norman Wolmark | 2010 | Lancet Oncology2010，，10： | 3 |
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| 9 | Development of human protein reference database as an initial platform for approaching systems biology in humans 显示文摘 | PERI S NAVARRO J D AMANCHY R KRISTIANSEN T Z JONNALAGADDA C K SURENDRANATH V NIRAN JAN V MUTHUSAMY B GANDHI T K GRONBORG M IBARROLA N DESHPANDE N SHANKER K SHIVASHANKAR H N RASHMI B P RAMYA M A ZHAO Z CHANDRIKA K N PADMA N HARSHA H C YATISH A J KAVITHA M P MENEZES M CHOUDHURY D R SURESH S GHOSH N SARAVANA R CHANDRAN S KRISHNA S JoY M ANAND S K MADAVAN V JOSEPH A WONG G W SCHIEMANN W P CONSTANTINESCU S N HUANG L KHOSRAVI-FAR R STEEN H TEWARI M GHAFFARI S BLOBE G C DANG C V GARCIA J G PEVSNER J JENSEN O N ROEPSTORFF P DESHPANDE K S CHINNAIYAN A M HAMOSH A CHAKRAVARTI A PANDEY A | 2003 | Genome Research2003，13，10： | 1 |
| 10 | On two - sided bounds related to weakly diagonally dominant M - matrices with application to digital circuit dynamics显示文摘 | Shivakumar P N Williams Joseph J Ye Qiang | 1996 | SIAM J Matrix Anal Appl1996，17，2： | 1 |
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| 12 | Separation of strontium from low level radioactive waste solutions using hydrous manganese dioxide composite materials 显示文摘 | Valsala T P Joseph A Sonar N L | 2010 | J Nucl Mater2010，404，2： | 1 |
| 13 | Synthesis of novel zerumbonederivatives via regioselective palladium catalyzed decarboxylative coupling reaction: a new class of α-glucosidase inhibitors显示文摘 | Ajish K R Dhanya B P Joseph N | 2014 | Tetrahedron Lett2014，55，3： | 1 |
| 14 | 'Andhi',The convective dust storms of North west India显示文摘 | Raipal D K Deka S N | 1980 | Mausam1980，31，： | 1 |
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| 16 | An integrated treatment approach: a case report for dentinogenesis imperfecta type II 显示文摘 | Shetty N Joseph M Basnet P | 2007 | Kathmandu Univ Med J: (KUMJ)2007，5，2： | 1 |
| 17 | Facile synthesis of highly funetionalized n-methyl amino acid esters with- out side-chain protection 显示文摘 | Kimberly N White Joseph P Konopelski | 2005 | Org Lett2005，7，19： | 1 |
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