Literature DB >> 32379124

Artificial Intelligence and Orthopaedics: An Introduction for Clinicians.

Thomas G Myers1, Prem N Ramkumar2, Benjamin F Ricciardi1, Kenneth L Urish3, Jens Kipper4, Constantinos Ketonis1.   

Abstract

Mesh:

Year:  2020        PMID: 32379124      PMCID: PMC7508289          DOI: 10.2106/JBJS.19.01128

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


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  36 in total

1.  HEALTH CARE POLICY. Ten things we have to do to achieve precision medicine.

Authors:  Isaac S Kohane
Journal:  Science       Date:  2015-07-02       Impact factor: 47.728

2.  On the Prospects for a (Deep) Learning Health Care System.

Authors:  C David Naylor
Journal:  JAMA       Date:  2018-09-18       Impact factor: 56.272

3.  Predictive Abilities of Machine Learning Techniques May Be Limited by Dataset Characteristics: Insights From the UNOS Database.

Authors:  P Elliott Miller; Sumeet Pawar; Benjamin Vaccaro; Megan McCullough; Pooja Rao; Rohit Ghosh; Prashant Warier; Nihar R Desai; Tariq Ahmad
Journal:  J Card Fail       Date:  2019-02-06       Impact factor: 5.712

4.  Remote Patient Monitoring Using Mobile Health for Total Knee Arthroplasty: Validation of a Wearable and Machine Learning-Based Surveillance Platform.

Authors:  Prem N Ramkumar; Heather S Haeberle; Deepak Ramanathan; William A Cantrell; Sergio M Navarro; Michael A Mont; Michael Bloomfield; Brendan M Patterson
Journal:  J Arthroplasty       Date:  2019-05-16       Impact factor: 4.757

Review 5.  Artificial Intelligence and Arthroplasty at a Single Institution: Real-World Applications of Machine Learning to Big Data, Value-Based Care, Mobile Health, and Remote Patient Monitoring.

Authors:  Prem N Ramkumar; Heather S Haeberle; Michael R Bloomfield; Jonathan L Schaffer; Atul F Kamath; Brendan M Patterson; Viktor E Krebs
Journal:  J Arthroplasty       Date:  2019-06-17       Impact factor: 4.757

6.  Three-dimensional morphology study of surgical adolescent idiopathic scoliosis patient from encoded geometric models.

Authors:  William Thong; Stefan Parent; James Wu; Carl-Eric Aubin; Hubert Labelle; Samuel Kadoury
Journal:  Eur Spine J       Date:  2016-02-06       Impact factor: 3.134

7.  Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Authors:  Mark Alan Fontana; Stephen Lyman; Gourab K Sarker; Douglas E Padgett; Catherine H MacLean
Journal:  Clin Orthop Relat Res       Date:  2019-06       Impact factor: 4.176

8.  Open mHealth Architecture: A Primer for Tomorrow's Orthopedic Surgeon and Introduction to Its Use in Lower Extremity Arthroplasty.

Authors:  Prem N Ramkumar; George F Muschler; Kurt P Spindler; Joshua D Harris; Patrick C McCulloch; Michael A Mont
Journal:  J Arthroplasty       Date:  2016-11-17       Impact factor: 4.757

Review 9.  Artificial intelligence and machine learning in spine research.

Authors:  Fabio Galbusera; Gloria Casaroli; Tito Bassani
Journal:  JOR Spine       Date:  2019-03-05

Review 10.  Machine Learning in Orthopedics: A Literature Review.

Authors:  Federico Cabitza; Angela Locoro; Giuseppe Banfi
Journal:  Front Bioeng Biotechnol       Date:  2018-06-27
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  14 in total

1.  [Study on the accuracy of automatic segmentation of knee CT images based on deep learning].

Authors:  Ping Song; Zheqi Fan; Xin Zhi; Zheng Cao; Shengfeng Min; Xingyu Liu; Yiling Zhang; Xiangpeng Kong; Wei Chai
Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi       Date:  2022-05-15

Review 2.  Artificial intelligence in orthopedic surgery: evolution, current state and future directions.

Authors:  Andrew P Kurmis; Jamie R Ianunzio
Journal:  Arthroplasty       Date:  2022-03-02

3.  CORR Insights®: What Is the Impact of Automated Synovial Cell Counting on Different Aseptic Causes and Periprosthetic Conditions Associated With Revision THA?

Authors:  Adam J Schwartz
Journal:  Clin Orthop Relat Res       Date:  2021-12-07       Impact factor: 4.176

Review 4.  [Artificial intelligence and novel approaches for treatment of non-union in bone : From established standard methods in medicine up to novel fields of research].

Authors:  Marie K Reumann; Benedikt J Braun; Maximilian M Menger; Fabian Springer; Johann Jazewitsch; Tobias Schwarz; Andreas Nüssler; Tina Histing; Mika F R Rollmann
Journal:  Unfallchirurgie (Heidelb)       Date:  2022-07-09

Review 5.  Industry 5.0 in Orthopaedics.

Authors:  Madhan Jeyaraman; Arulkumar Nallakumarasamy; Naveen Jeyaraman
Journal:  Indian J Orthop       Date:  2022-08-23       Impact factor: 1.033

6.  A Machine Learning Algorithm Outperforms Traditional Multiple Regression to Predict Risk of Unplanned Overnight Stay Following Outpatient Medial Patellofemoral Ligament Reconstruction.

Authors:  Chimere O Ezuma; Yining Lu; Ayoosh Pareek; Ryan Wilbur; Aaron J Krych; Brian Forsythe; Christopher L Camp
Journal:  Arthrosc Sports Med Rehabil       Date:  2022-05-24

Review 7.  A Surgeon's Guide to Understanding Artificial Intelligence and Machine Learning Studies in Orthopaedic Surgery.

Authors:  Rohan M Shah; Clarissa Wong; Nicholas C Arpey; Alpesh A Patel; Srikanth N Divi
Journal:  Curr Rev Musculoskelet Med       Date:  2022-02-10

8.  Machine Learning: the Future of Total Knee Replacement.

Authors:  H Gene Dossett
Journal:  Fed Pract       Date:  2022-02-14

Review 9.  Artificial intelligence in arthroplasty.

Authors:  Glen Purnomo; Seng-Jin Yeo; Ming Han Lincoln Liow
Journal:  Arthroplasty       Date:  2021-11-02

10.  Artificial Intelligence to Diagnose Tibial Plateau Fractures: An Intelligent Assistant for Orthopedic Physicians.

Authors:  Peng-Ran Liu; Jia-Yao Zhang; Ming-di Xue; Yu-Yu Duan; Jia-Lang Hu; Song-Xiang Liu; Yi Xie; Hong-Lin Wang; Jun-Wen Wang; Tong-Tong Huo; Zhe-Wei Ye
Journal:  Curr Med Sci       Date:  2021-12-31
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