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Machine learning: Calculating disease.

作者信息

Savage Neil

出版信息

Nature. 2017 Oct 18;550(7676):S115-S117. doi: 10.1038/550S115a.

DOI:10.1038/550S115a
PMID:29045372
Abstract
摘要

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2
Deep learning predictions of survival based on MRI in amyotrophic lateral sclerosis.基于磁共振成像的肌萎缩侧索硬化症患者生存情况的深度学习预测
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3
Development of an Automated MRI-Based Diagnostic Protocol for Amyotrophic Lateral Sclerosis Using Disease-Specific Pathognomonic Features: A Quantitative Disease-State Classification Study.
Identifying individuals with attention-deficit/hyperactivity disorder based on multisite resting-state functional magnetic resonance imaging: A radiomics analysis.
基于多中心静息态功能磁共振成像的注意缺陷多动障碍个体识别：一种放射组学分析。
Hum Brain Mapp. 2023 Jun 1;44(8):3433-3445. doi: 10.1002/hbm.26290. Epub 2023 Mar 27.
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Building Trust in Medical Use of Artificial Intelligence - The Swarm Learning Principle.建立对人工智能医疗应用的信任——群体学习原则。
J CME. 2023 Jan 10;12(1):2162202. doi: 10.1080/28338073.2022.2162202. eCollection 2023.
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Sci Rep. 2023 Jan 13;13(1):702. doi: 10.1038/s41598-023-27863-2.
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Convergence of Precision Medicine and Public Health Into Precision Public Health: Toward a Big Data Perspective.精准医学与公共卫生的融合：迈向大数据视角下的精准公共卫生。
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