Literature DB >> 32257027

Artificial Intelligence and Machine Learning: A New Disruptive Force in Orthopaedics.

Murali Poduval1, Avik Ghose2, Sanjeev Manchanda3, Vaibhav Bagaria4, Aniruddha Sinha2.   

Abstract

Orthopaedics as a surgical discipline requires a combination of good clinical acumen, good surgical skill, a reasonable physical strength and most of all, good understanding of technology. The last few decades have seen rapid adoption of new technologies into orthopaedic practice, power tools, new implants, CAD-CAM design, 3-D printing, additive manufacturing just to name a few. The new disruption in orthopaedics in the current time and era is undoubtedly the advent of artificial intelligence and robotics. As these technologies take root and innovative applications continue to be incorporated into the main-stream orthopedics, as we know it today, it is imperative to look at and understand the basics of artificial intelligence and what work is being done in the field today. This article takes the form of a loosely structured narrative review and will introduce the reader to key concepts in the field of artificial intelligence as well as some of the directions in application of the same in orthopaedics. Some of the recent work has been summarised and we present our viewpoint at the conclusion as to why we must consider artificial intelligence as a disrupting positive influence on orthopaedic surgery. © Indian Orthopaedics Association 2020.

Keywords:  Artificial intelligence; Machine learning; Orthopaedic surgery

Year:  2020        PMID: 32257027      PMCID: PMC7096590          DOI: 10.1007/s43465-019-00023-3

Source DB:  PubMed          Journal:  Indian J Orthop        ISSN: 0019-5413            Impact factor:   1.251


  54 in total

1.  Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the osteoarthritis initiative.

Authors:  Beth G Ashinsky; Mustapha Bouhrara; Christopher E Coletta; Benoit Lehallier; Kenneth L Urish; Ping-Chang Lin; Ilya G Goldberg; Richard G Spencer
Journal:  J Orthop Res       Date:  2017-03-23       Impact factor: 3.494

2.  Negative Patient-Experience Comments After Total Shoulder Arthroplasty.

Authors:  Mariano E Menendez; Jonathan Shaker; Sarah M Lawler; David Ring; Andrew Jawa
Journal:  J Bone Joint Surg Am       Date:  2019-02-20       Impact factor: 5.284

Review 3.  Envisioning Watson as a rapid-learning system for oncology.

Authors:  Jennifer L Malin
Journal:  J Oncol Pract       Date:  2013-05       Impact factor: 3.840

4.  Can Machine Learning Methods Produce Accurate and Easy-to-use Prediction Models of 30-day Complications and Mortality After Knee or Hip Arthroplasty?

Authors:  Alex H S Harris; Alfred C Kuo; Yingjie Weng; Amber W Trickey; Thomas Bowe; Nicholas J Giori
Journal:  Clin Orthop Relat Res       Date:  2019-02       Impact factor: 4.176

5.  Can We Estimate Short- and Intermediate-term Survival in Patients Undergoing Surgery for Metastatic Bone Disease?

Authors:  Jonathan A Forsberg; Rikard Wedin; Patrick J Boland; John H Healey
Journal:  Clin Orthop Relat Res       Date:  2016-12-01       Impact factor: 4.176

6.  Can a Bayesian Belief Network Be Used to Estimate 1-year Survival in Patients With Bone Sarcomas?

Authors:  Rajpal Nandra; Michael Parry; Jonathan Forsberg; Robert Grimer
Journal:  Clin Orthop Relat Res       Date:  2017-04-10       Impact factor: 4.176

7.  Can A Multivariate Model for Survival Estimation in Skeletal Metastases (PATHFx) Be Externally Validated Using Japanese Patients?

Authors:  Koichi Ogura; Tabu Gokita; Yusuke Shinoda; Hirotaka Kawano; Tatsuya Takagi; Keisuke Ae; Akira Kawai; Rikard Wedin; Jonathan A Forsberg
Journal:  Clin Orthop Relat Res       Date:  2017-05-30       Impact factor: 4.176

8.  Artificial intelligence for analyzing orthopedic trauma radiographs.

Authors:  Jakub Olczak; Niklas Fahlberg; Atsuto Maki; Ali Sharif Razavian; Anthony Jilert; André Stark; Olof Sköldenberg; Max Gordon
Journal:  Acta Orthop       Date:  2017-07-06       Impact factor: 3.717

9.  Will intelligent machine learning revolutionize orthopedic imaging?

Authors:  Hans E Berg
Journal:  Acta Orthop       Date:  2017-12       Impact factor: 3.717

10.  Scalable and accurate deep learning with electronic health records.

Authors:  Alvin Rajkomar; Eyal Oren; Kai Chen; Andrew M Dai; Nissan Hajaj; Michaela Hardt; Peter J Liu; Xiaobing Liu; Jake Marcus; Mimi Sun; Patrik Sundberg; Hector Yee; Kun Zhang; Yi Zhang; Gerardo Flores; Gavin E Duggan; Jamie Irvine; Quoc Le; Kurt Litsch; Alexander Mossin; Justin Tansuwan; James Wexler; Jimbo Wilson; Dana Ludwig; Samuel L Volchenboum; Katherine Chou; Michael Pearson; Srinivasan Madabushi; Nigam H Shah; Atul J Butte; Michael D Howell; Claire Cui; Greg S Corrado; Jeffrey Dean
Journal:  NPJ Digit Med       Date:  2018-05-08
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  5 in total

1.  Will technology drive orthopaedic surgery in the future?

Authors:  Raju Vaishya; Marius M Scarlat; Karthikeyan P Iyengar
Journal:  Int Orthop       Date:  2022-07       Impact factor: 3.479

Review 2.  Innovation in Orthopaedics: Part 2-How to Translate Ideas and Research into Clinical Practice.

Authors:  Tiago Lazzaretti Fernandes; Rafaella Rogatto de Faria; Maria Alice Gonzales; Seth L Sherman; Sara Goldchmit; Andre Fleury
Journal:  Curr Rev Musculoskelet Med       Date:  2022-03-04

3.  Real-time acoustic sensing and artificial intelligence for error prevention in orthopedic surgery.

Authors:  Matthias Seibold; Steven Maurer; Armando Hoch; Patrick Zingg; Mazda Farshad; Nassir Navab; Philipp Fürnstahl
Journal:  Sci Rep       Date:  2021-02-17       Impact factor: 4.379

Review 4.  A narrative review of machine learning as promising revolution in clinical practice of scoliosis.

Authors:  Kai Chen; Xiao Zhai; Kaiqiang Sun; Haojue Wang; Changwei Yang; Ming Li
Journal:  Ann Transl Med       Date:  2021-01

5.  Evaluation of artificial intelligence models for osteoarthritis of the knee using deep learning algorithms for orthopedic radiographs.

Authors:  Anjali Tiwari; Murali Poduval; Vaibhav Bagaria
Journal:  World J Orthop       Date:  2022-06-18
  5 in total

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