Development of a new-generation medical imaging diagnosis system integrating artificial intelligence and risk models
Project/Area Number |
15K09947
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Radiation science
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Research Institution | Kanazawa University |
Principal Investigator |
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Co-Investigator(Renkei-kenkyūsha) |
Okuda Koichi 金沢医科大学, 一般教育機構, 講師 (60639938)
Matsuo Shinro 金沢大学附属病院, 講師 (30359773)
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Project Period (FY) |
2015-04-01 – 2018-03-31
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Project Status |
Completed (Fiscal Year 2017)
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Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2017: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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Keywords | 人工ニューラルネットワーク / 虚血性心疾患 / 心不全 / 心筋血流イメージング / 心臓交感神経イメージング / リスクモデル / 心臓核医学 / 多施設研究 / 心筋交感神経イメージング / 画像診断 / 人工知能 / 標準化 |
Outline of Final Research Achievements |
Clinical diagnosis of ischemic heart disease and heart failure is based on integrated assessment of clinical course, blood sampling, and imaging. The aim of this study was to create models by artificial intelligence or multivariable statistical analysis. Databases of patients with cardiac diseases were made by multicenter collaboration. With respect to myocardial perfusion imaging, using feature extractions and neural networks, diagnostic accuracy reached a level of expert interpretation. In patients with heart failure, multivariable risk model including 123I-metaiodobenzylguanidine successfully provided risk of cardiac death. Both algorithms were prepared as software for clinical uses.
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Report
(4 results)
Research Products
(34 results)
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[Presentation] Creation and validation of artificial intelligence for stress myocardial perfusion imaging: A Japanese multicenter project2017
Author(s)
Nakajima K, Kiso K, Kudo T, Kasai T, Taniguchi Y, Matsuo S, Nakagawa M, Nakata T, Hida S, Tanaka H, Sarai M, Yokoyama K, Kondo C, Okuda K, Edenbrandt L
Organizer
Annual Meeting of European Association of Nuclear Medicine, Vienna, Austria
Related Report
Int'l Joint Research
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