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2
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3
Precision Medicine Approach to Develop and Internally Validate Optimal Exercise and Weight-Loss Treatments for Overweight and Obese Adults With Knee Osteoarthritis: Data From a Single-Center Randomized Trial.精准医学方法开发和内部验证超重和肥胖膝骨关节炎成年人的最佳运动和减肥治疗方案：来自单中心随机试验的数据。
Arthritis Care Res (Hoboken). 2021 May;73(5):693-701. doi: 10.1002/acr.24179.
4
Deep learning risk assessment models for predicting progression of radiographic medial joint space loss over a 48-MONTH follow-up period.深度学习风险评估模型预测 48 个月随访期间放射学内侧关节间隙丢失的进展。
Osteoarthritis Cartilage. 2020 Apr;28(4):428-437. doi: 10.1016/j.joca.2020.01.010. Epub 2020 Feb 6.
5
2019 American College of Rheumatology/Arthritis Foundation Guideline for the Management of Osteoarthritis of the Hand, Hip, and Knee.2019 年美国风湿病学会/关节炎基金会手部、髋部和膝关节骨关节炎管理指南。
Arthritis Rheumatol. 2020 Feb;72(2):220-233. doi: 10.1002/art.41142. Epub 2020 Jan 6.
6
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data.基于多模态机器学习的膝关节骨关节炎平片与临床数据的进展预测。
Sci Rep. 2019 Dec 27;9(1):20038. doi: 10.1038/s41598-019-56527-3.
7
Phenotypes of osteoarthritis: current state and future implications.骨关节炎表型：现状与未来意义。
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Identifying pain susceptibility phenotypes in knee osteoarthritis.识别膝骨关节炎的疼痛易感性表型。
Clin Exp Rheumatol. 2019 Sep-Oct;37 Suppl 120(5):96-99. Epub 2019 Oct 15.
9
A machine learning approach to knee osteoarthritis phenotyping: data from the FNIH Biomarkers Consortium.机器学习在膝骨关节炎表型分析中的应用：FNIH 生物标志物联盟的数据。
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Diagnosing osteoarthritis from T maps using deep learning: an analysis of the entire Osteoarthritis Initiative baseline cohort.利用深度学习从 T 映射诊断骨关节炎：对整个骨关节炎倡议基线队列的分析。
Osteoarthritis Cartilage. 2019 Jul;27(7):1002-1010. doi: 10.1016/j.joca.2019.02.800. Epub 2019 Mar 21.

How feasible is the stratification of osteoarthritis phenotypes by means of artificial intelligence?

作者信息

Nelson Amanda E

机构信息

Department of Medicine, Division of Rheumatology, Allergy, and Immunology, Director, Phenotyping and Precision Medicine Resource Core of the UNC Core Center for Clinical Research, University of North Carolina at Chapel Hill School of Medicine, 3300 Doc J. Thurston Building, Campus Box #7280, Chapel Hill, NC, USA, 27599-7280.

出版信息

Expert Rev Precis Med Drug Dev. 2021;6(2):83-85. doi: 10.1080/23808993.2021.1848424. Epub 2020 Nov 23.

DOI:10.1080/23808993.2021.1848424
PMID:33796790
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8009315/
Abstract
摘要