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Editorial: Improving Diagnosis, Treatment, and Prognosis of Neuropsychiatric Disorders by Leveraging Neuroimaging-based Machine Learning.社论:利用基于神经影像学的机器学习改善神经精神疾病的诊断、治疗和预后
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本文引用的文献

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Predicting risk of sudden cardiac death in patients with cardiac sarcoidosis using multimodality imaging and personalized heart modeling in a multivariable classifier.在多变量分类器中使用多模态成像和个性化心脏建模预测心脏结节病患者的心源性猝死风险。
Sci Adv. 2021 Jul 28;7(31). doi: 10.1126/sciadv.abi8020. Print 2021 Jul.
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Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.基于术前磁共振成像放射组学的signature 模型:预测早期乳腺癌患者腋窝淋巴结转移和无病生存的研究
JAMA Netw Open. 2020 Dec 1;3(12):e2028086. doi: 10.1001/jamanetworkopen.2020.28086.
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A neuroimaging biomarker for striatal dysfunction in schizophrenia.精神分裂症纹状体功能障碍的神经影像学生物标志物。
Nat Med. 2020 Apr;26(4):558-565. doi: 10.1038/s41591-020-0793-8. Epub 2020 Mar 23.
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Resting-state connectivity biomarkers define neurophysiological subtypes of depression.静息态连接生物标志物定义了抑郁症的神经生理亚型。
Nat Med. 2017 Jan;23(1):28-38. doi: 10.1038/nm.4246. Epub 2016 Dec 5.
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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.深度学习算法在视网膜眼底照片糖尿病视网膜病变检测中的开发与验证。
JAMA. 2016 Dec 13;316(22):2402-2410. doi: 10.1001/jama.2016.17216.
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Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity.功能连接组指纹识别:利用脑连接模式识别个体。
Nat Neurosci. 2015 Nov;18(11):1664-71. doi: 10.1038/nn.4135. Epub 2015 Oct 12.
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Medicine. Brain disorders? Precisely.医学。脑部疾病?没错。
Science. 2015 May 1;348(6234):499-500. doi: 10.1126/science.aab2358.
8
Research domain criteria (RDoC): toward a new classification framework for research on mental disorders.研究领域标准(RDoC):迈向精神障碍研究的新分类框架
Am J Psychiatry. 2010 Jul;167(7):748-51. doi: 10.1176/appi.ajp.2010.09091379.

Editorial: Improving Diagnosis, Treatment, and Prognosis of Neuropsychiatric Disorders by Leveraging Neuroimaging-based Machine Learning.

作者信息

Li Baojuan, Lu Hongbing, Zang Yu-Feng, Shen Hui, Fan Qiuyun, Liu Jian

机构信息

School of Biomedical Engineering, Fourth Military Medical University, Xi'an, China.

Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.

出版信息

Front Neurosci. 2022 Apr 13;16:891337. doi: 10.3389/fnins.2022.891337. eCollection 2022.

DOI:10.3389/fnins.2022.891337
PMID:35495055
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9043237/
Abstract
摘要