Literature DB >> 32769534

CORR Insights®: Does Artificial Intelligence Outperform Natural Intelligence in Interpretation of Musculoskeletal Radiological Studies? A Systematic Review.

Raphaël Porcher1.   

Abstract

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Year:  2020        PMID： 32769534      PMCID： PMC7899408          DOI： 10.1097/CORR.0000000000001415

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN： 0009-921X            Impact factor:   4.755


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  15 in total

1.  A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.

Authors:  Evangelia Christodoulou; Jie Ma; Gary S Collins; Ewout W Steyerberg; Jan Y Verbakel; Ben Van Calster
Journal:  J Clin Epidemiol       Date:  2019-02-11       Impact factor: 6.437

2.  Reporting of artificial intelligence prediction models.

Authors:  Gary S Collins; Karel G M Moons
Journal:  Lancet       Date:  2019-04-20       Impact factor: 79.321

3.  Do Surgeon Expectations Predict Clinically Important Improvements in WOMAC Scores After THA and TKA?

Authors:  Hassan M K Ghomrawi; Carol A Mancuso; Allison Dunning; Alejandro Gonzalez Della Valle; Michael Alexiades; Charles Cornell; Thomas Sculco; Matthias Bostrom; David Mayman; Robert G Marx; Geoffrey Westrich; Michael O'Dell; Alvin I Mushlin
Journal:  Clin Orthop Relat Res       Date:  2017-03-28       Impact factor: 4.176

4.  Editor's Spotlight/Take 5: Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Authors:  Seth S Leopold
Journal:  Clin Orthop Relat Res       Date:  2019-06       Impact factor: 4.176

5.  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

6.  PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies.

Authors:  Robert F Wolff; Karel G M Moons; Richard D Riley; Penny F Whiting; Marie Westwood; Gary S Collins; Johannes B Reitsma; Jos Kleijnen; Sue Mallett
Journal:  Ann Intern Med       Date:  2019-01-01       Impact factor: 25.391

7.  A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.

Authors:  Xiaoxuan Liu; Livia Faes; Aditya U Kale; Siegfried K Wagner; Dun Jack Fu; Alice Bruynseels; Thushika Mahendiran; Gabriella Moraes; Mohith Shamdas; Christoph Kern; Joseph R Ledsam; Martin K Schmid; Konstantinos Balaskas; Eric J Topol; Lucas M Bachmann; Pearse A Keane; Alastair K Denniston
Journal:  Lancet Digit Health       Date:  2019-09-25

8.  Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.

Authors:  Gary S Collins; Johannes B Reitsma; Douglas G Altman; Karel G M Moons
Journal:  Ann Intern Med       Date:  2015-01-06       Impact factor: 25.391

9.  Does Artificial Intelligence Outperform Natural Intelligence in Interpreting Musculoskeletal Radiological Studies? A Systematic Review.

Authors:  Olivier Q Groot; Michiel E R Bongers; Paul T Ogink; Joeky T Senders; Aditya V Karhade; Jos A M Bramer; Jorrit-Jan Verlaan; Joseph H Schwab
Journal:  Clin Orthop Relat Res       Date:  2020-12       Impact factor: 4.755

Review 10.  CORR Synthesis: When Should We Be Skeptical of Clinical Prediction Models?

Authors:  Aditya V Karhade; Joseph H Schwab
Journal:  Clin Orthop Relat Res       Date:  2020-12       Impact factor: 4.755
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