| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Outline of Final Research Achievements |
The purpose of this study is to develop a surgical information management method including pre- and post-operative data for total hip replacement and training-data-circulation-typed surgical assistant system using medical big data. In this study, we defined XML data format which is able to handle many patients' data and implants data efficiently, and developed the surgical assistant system which equips exchangeable traning-data-set module and post-operative evaluation. In the experiments of pre-operative phase, 100 cases were applied to the proposed system and several surgical criteria of the optimal plans were compared with surgeon's plans. As a result, one criterion was significantly better than the surgeon's and all the others were almost equivalent. In the experiments of post-operative phase, 19 cases were applied for automated estimation of implant positions and we confirmed the highly accurate determination. We considered that the results showed the usefulness of the system.
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