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人工智能让机器人大有作为

现代制造 2020年第24期 48-49页

作者： Jürgen bock 不详

在日常生活的诸多领域中,人工智能已为传统方法难以解决的问题提供了出色的解决方案,其中包括图像和语音识别或信用卡安全付款等。在工业环境中,人工智能同样能够根据模板搜索数据,帮助人和机器人进行决策。到目前为止,机器人主要用于... 详细信息

在日常生活的诸多领域中,人工智能已为传统方法难以解决的问题提供了出色的解决方案,其中包括图像和语音识别或信用卡安全付款等。在工业环境中,人工智能同样能够根据模板搜索数据,帮助人和机器人进行决策。到目前为止,机器人主要用于重复性工作,它们以稳定的高精度和重复性执行任务,而未来的生产要求越来越复杂,作为人工智能的一部分,机器学习能够使机器人系统更适合灵活制造,为此需要分析数据、找出相关性并从中获取信息。

关键词：人工智能机器人系统机器学习语音识别重复性工作搜索数据灵活制造解决方案

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GaAs光纤压力传感器

国外计量 1992年第4期 40-42,39页

作者： bock,WJ 何平

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腰肌间隙——腰肌“内”脓肿的导轨

放射学实践 1991年第3期 136-140页

作者： M.Luning A.bock H.Wolff 张本固 Humboldt-Universitat zu Berlin Institut fur Rontgendiagnostik und Chirurgische Klinik Charite 同济医科大学附属同济医院

位于腹膜后的脓肿主要在筋膜外扩展。腰肌“内”脓肿可位于迄今未见描述的肌肉内含有脂肪组织的间隙里。

关键词：肌间隙筋膜外脓肿炎症腰肌导轨

Methods of computed tomography screening and management of lung cancer in Tianjin: design of a population-based cohort study

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Cancer Biology & Medicine 2019年第1期16卷 181-188页

作者： Yihui Du Yingru Zhao Grigory Sidorenkov Geertruida H.de bock Xiaonan Cui Yubei Huang Monique D.Dorrius Mieneke Rook Harry J.M.Groen Marjolein A.Heuvelmans Rozemarijn Vliegenthart Kexin Chen Xueqian Xie Shiyuan Liu Matthijs Oudkerk Zhaoxiang Ye Department of Epidemiology University of Groningen University Medical Center Groningen Center for Medical Imaging-North East Netherlands University of Groningen University Medical Center Groningen Department of Radiology Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center for Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin Tianjin’s Clinical Research Center for Cancer Department of Epidemiology and Biostatistics Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center for Cancer Key Laboratory of Cancer Prevention and Therapy Tianjin Tianjin’s Clinical Research Center for Cancer Department of Radiology University of Groningen University Medical Center Groningen Department of Radiology Martini Hospital Department of Pulmonary Diseases University of Groningen University Medical Centre Groningen Medisch Spectrum Twente Department of Pulmonology Department of Radiology Shanghai General HospitalShanghai Jiao Tong University School of Medicine Department of Radiology Shanghai Changzheng Hospital The Second Military Medical University Shanghai

Objective: European lung cancer screening studies using computed tomography(CT) have shown that a management protocol based on measuring lung nodule volume and volume doubling time(VDT) is more specific for early lung cancer detection than a diameter-based protocol. However, whether this also applies to a Chinese population is unclear. The aim of this study is to compare the diagnostic performance of a volume-based protocol with a diameter-based protocol for lung cancer detection and optimize the nodule management criteria for a Chinese ***: This study has a population-based, prospective cohort design and includes 4000 participants from the Hexi district of Tianjin, China. Participants will undergo low-dose chest CT at baseline and after 1 year. Initially, detected lung nodules will be evaluated for diameter and managed according to a routine diameter-based protocol(Clinical Practice Guideline in Oncology for Lung Cancer Screening, Version 2.2018). Subsequently, lung nodules will be evaluated for volume and management will be simulated according to a volume-based protocol and VDT(a European lung nodule management protocol). Participants will be followed up for 4 years to evaluate lung cancer incidence and mortality. The primary outcome is the diagnostic performance of the European volume-based protocol compared to diameter-based management regarding lung nodules detected using low-dose ***: The diagnostic performance of volume-and diameter-based management for lung nodules in a Chinese population will be estimated and ***: Through the study, we expect to improve the management of lung nodules and early detection of lung cancer in Chinese populations.

关键词： Lung cancer lung nodules screening computed tomography China

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