| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2021: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2020: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2019: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2018: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Outline of Final Research Achievements |
The purpose of this study was to develop a radiotherapy support system that combines image features calculated from medical images and artificial intelligence technology to provide various types of support in the field of radiotherapy. In the current radiotherapy, the same prescribed dose is often administered to all patients once the stage of disease is determined. However, there is a possibility to determine the optimal prescribed dose for each patient by integrating and analyzing medical images and other various patient information. In this study, we developed an image generation method to calculate robust image features and a prediction method for patient prognosis based on radiomics and artificial intelligence techniques for various diseases.
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