Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2020 Dec;478(12):2765-2767.
doi: 10.1097/CORR.0000000000001415.

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

Affiliations
Comment

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

Raphaël Porcher. Clin Orthop Relat Res. 2020 Dec.
No abstract available

PubMed Disclaimer

Conflict of interest statement

The author certifies that he, or any members of his immediate family, has no commercial associations (eg, consultancies, stock ownership, equity interest, patent/licensing arrangements, etc) that might pose a conflict of interest in connection with the submitted article.

All ICMJE Conflict of Interest Forms for authors and Clinical Orthopaedics and Related Research® editors and board members are on file with the publication and can be viewed on request.

Comment on

References

    1. Chen JH, Asch SM. Machine learning and prediction in medicine - beyond the peak of inflated expectations. N Engl J Med. 2017;376:2507-2509. - PMC - PubMed
    1. Christodoulou E, Ma J, Collins GS, Steyerberg EW, Verbakel JY, Van Calster B. A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models. J Clin Epidemiol. 2019;110:12-22. - PubMed
    1. Collins GS, Moons KGM. Reporting of artificial intelligence prediction models. Lancet. 2019;393:1577-1579. - PubMed
    1. Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. Ann Intern Med. 2015;162:55-63. - PubMed
    1. Fontana MA, Lyman S, Sarker GK, Padgett DE, MacLean CH. Can machine learning algorithms predict which patients will achieve minimally clinically important differences from total joint arthroplasty? Clin Orthop Relat Res . 2019;477:1267-1279. - PMC - PubMed