Narrative Review of Machine Learning in Rheumatic and Musculoskeletal Diseases for Clinicians and Researchers: Biases, Goals, and Future Directions.
Narrative Review of Machine Learning in Rheumatic and Musculoskeletal Diseases for Clinicians and Researchers: Biases, Goals, and Future Directions.
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DOI:
10.3899/jrheum.220326
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发表时间:
2022-11
期刊:
影响因子:
--
通讯作者:
Arbeeva L
中科院分区:
文献类型:
--
作者:
Nelson AE;Arbeeva L
There has been rapid growth in the use of artificial intelligence analytics in medicine in recent years, including in rheumatic and musculoskeletal diseases (RMDs). Such methods represent a challenge to clinicians, patients, and researchers given the “black box” nature of most algorithms and the unfamiliarity of the terms and lack of awareness of potential issues around these analyses. Therefore, this review aims to introduce this area in a way that is relevant and meaningful to clinicians and researchers. We hope to provide some insights into relevant strengths and limitations, reporting guidelines, as well as recent examples of such analyses in key areas with a focus on lessons learned and future directions in diagnosis, phenotyping, prognosis, and precision medicine in RMDs.
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影响因子:
27.4
作者:
Adamichou C;Genitsaridi I;Nikolopoulos D;Nikoloudaki M;Repa A;Bortoluzzi A;Fanouriakis A;Sidiropoulos P;Boumpas DT;Bertsias GK
通讯作者:
Bertsias GK
DOI:
10.1080/23808993.2021.1848424
发表时间:
2021
影响因子:
1.2
作者:
Nelson AE
通讯作者:
Nelson AE
DOI:
10.1056/nejmsr1809937
发表时间:
2019-08-15
期刊:
The New England journal of medicine
影响因子:
--
作者:
All of Us Research Program Investigators;Denny JC;Rutter JL;Goldstein DB;Philippakis A;Smoller JW;Jenkins G;Dishman E
通讯作者:
Dishman E
影响因子:
30.8
作者:
Ghassemi, Marzyeh;Oakden-Rayner, Luke;Beam, Andrew L.
通讯作者:
Beam, Andrew L.
影响因子:
3.1
作者:
Belle V;Papantonis I
通讯作者:
Papantonis I