On medical application of neural networks trained with various types of data
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- Karako Kenji
- Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo
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- Chen Yu
- Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo
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- Tang Wei
- Department of International Trial, Center for Clinical Sciences; Hospital International Health Care Center, National Center for Global Health and Medicine
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説明
<p>Neural networks have garnered attention over the past few years. A neural network is a typical model of machine learning that is used to identify visual patterns. Neural networks are used to solve a wide variety of problems, including image recognition problems and time series prediction problems. In addition, neural networks have been applied to medicine over the past few years. This paper classifies the ways in which neural networks have been applied to medicine based on the type of data used to train those networks. Applications of neural networks to medicine can be categorized two types: automated diagnosis and physician aids. Considering the number of patients per physician, neural networks could be used to diagnose diseases related to the vascular system, heart, brain, spinal column, head, neck, and tumors/cancer in three fields: vascular and interventional radiology, interventional cardiology, and neuroradiology. Lastly, this paper also considers areas of medicine where neural networks can be effectively applied in the future.</p>
収録刊行物
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- BioScience Trends
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BioScience Trends 12 (6), 553-559, 2018-12-31
特定非営利活動法人 バイオ＆ソーシャル・サイエンス推進国際研究交流会