From Signal to Knowledge:The Diagnostic Value of Raw Data in the Artificial Intelligence Prediction of Human Data for the First Time

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外文摘要：Encouraging and astonishing developments have recently been achieved in image-based diagnostic tech-nology.Modern medical care and imaging technology are becoming increasingly inseparable.However,the current diagnosis pattern of signal to image to knowledge inevitably leads to information distortion and noise introduction in the procedure of image reconstruction(from signal to image).Artificial intelli-gence(AI)technologies that can mine knowledge from vast amounts of data offer opportunities to disrupt established workflows.In this prospective study,for the first time,we develop an AI-based signal-to-knowledge diagnostic scheme for lung nodule classification directly from the computed tomography(CT)raw data(the signal).We find that the raw data achieves almost comparable performance with CT,indicating that it is possible to diagnose diseases without reconstructing images.Moreover,the incor-poration of raw data through three common convolutional network structures greatly improves the per-formance of the CT models in all cohorts(with a gain ranging from 0.01 to 0.12),demonstrating that raw data contains diagnostic information that CT does not possess.Our results break new ground and demon-strate the potential for direct signal-to-knowledge domain analysis.

外文关键词：

Computed tomographyDiagnosisDeep learningLung cancerRaw data

作者：

Bingxi He、Yu Guo、Yongbei Zhu、Lixia Tong、Boyu Kong、Kun Wang、Caixia Sun、Hailin Li、Feng Huang、Liwei Wu、Meng Wang、Fanyang Meng、Le Dou、Kai Sun、Tong Tong、Zhenyu Liu、Ziqi Wei、Wei Mu、Shuo Wang、Zhenchao Tang、Shuaitong Zhang、Jingwei Wei、Lizhi Shao、Mengjie Fang、Juntao Li、Shouping Zhu、Lili Zhou、Di Dong、Huimao Zhang、Jie Tian

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作者单位：

Beijing Advanced Innovation Center for Big Data-Based Precision Medicine,School of Engineering Medicine,Beihang University,Beijing 100191,China

Key Laboratory of Big Data-Based Precision Medicine,Beihang University,Ministry of Industry and Information Technology,Beijing 100191,China

CAS Key Laboratory of Molecular Imaging,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China

Department of Radiology,The First Hospital of Jilin University,Changchun 130021,China

Neusoft Medical Systems Co.,Ltd.,Shenyang 110167,China

Neusoft Research of Intelligent Healthcare Technology Co.Ltd.,Shenyang 110167,China

School of Life Science and Technology,Xidian University,Xi'an 710126,China

Engineering Research Center of Molecular and Neuro Imaging,Ministry of Education,Xi'an 710126,China

School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China

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基金：

National Key Research and Development Program of ChinaNational Key Research and Development Program of ChinaNational Key Research and Development Program of ChinaNational Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaBeijing Natural Science FoundationStrategic Priority Research Program of Chinese Academy of SciencesChinese Academy of SciencesChinese Academy of SciencesProject of High-Level Talents Team Introduction in Zhuhai CityYouth Innovation Promotion Association CASChina Postdoctoral Science Foundation

项目编号：

2017YFA02052002023YFC24152002021YFF12010032021YFC250040282022036919591308197177662027901819300538177192462333022823611686646217601382302317Z20J00105XDB38040200GJJSTD20170004QYZDJ-SSW-JSC005Zhuhai HLHPTP201703Y20210492021M700341

出版年：

2024

DOI：

10.1016/j.eng.2023.02.013

工程(英文)

CSTPCDEI

ISSN：2095-8099

年,卷(期)：2024.34(3)