From Signal to Knowledge: The Diagnostic Value of Raw Data in the Artificial Intelligence Prediction of Human Data for the First Time Article Swipe
Bingxi He
,
Guo Yu
,
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
,
Shuo Wang
,
Di Dong
,
Huimao Zhang
,
Jie Tian
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.eng.2023.02.013
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.eng.2023.02.013
Encouraging and astonishing developments have recently been achieved in image-based diagnostic technology. 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 intelligence (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 incorporation of raw data through three common convolutional network structures greatly improves the performance 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 demonstrate the potential for direct signal-to-knowledge domain analysis.
Related Topics
Concepts
Raw data
Workflow
SIGNAL (programming language)
Computer science
Artificial intelligence
Noise (video)
Domain knowledge
Medical imaging
Distortion (music)
Convolutional neural network
Image (mathematics)
Domain (mathematical analysis)
Data mining
Pattern recognition (psychology)
Database
Mathematics
Amplifier
Mathematical analysis
Programming language
Computer network
Bandwidth (computing)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.eng.2023.02.013
- OA Status
- gold
- Cited By
- 9
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4366753637
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4366753637Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.eng.2023.02.013Digital Object Identifier
- Title
-
From Signal to Knowledge: The Diagnostic Value of Raw Data in the Artificial Intelligence Prediction of Human Data for the First TimeWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-22Full publication date if available
- Authors
-
Bingxi He, Guo Yu, 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, Shuo Wang, Di Dong, Huimao Zhang, Jie TianList of authors in order
- Landing page
-
https://doi.org/10.1016/j.eng.2023.02.013Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.eng.2023.02.013Direct OA link when available
- Concepts
-
Raw data, Workflow, SIGNAL (programming language), Computer science, Artificial intelligence, Noise (video), Domain knowledge, Medical imaging, Distortion (music), Convolutional neural network, Image (mathematics), Domain (mathematical analysis), Data mining, Pattern recognition (psychology), Database, Mathematics, Amplifier, Mathematical analysis, Programming language, Computer network, Bandwidth (computing)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 4, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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