2021 Fiscal Year Final Research Report
Development of artificial intelligence assisted surgery system by moving image recognition based on deep learning and augmented reality
| Project/Area Number |
19K10258
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 57060:Surgical dentistry-related
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Project Period (FY) |
2019-04-01 – 2022-03-31
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| Keywords | コンピュータ外科学 |
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| Outline of Final Research Achievements |
In this study, artificial intelligence is adopted to automatically predict optimal postoperative skeletal changes indicated by specifically selected anatomical landmarks for assisting surgical planning in orthognathic surgery. This study is a machine learning method to extract the surgeons' knowledge and technique on surgical planning using real pre and postoperative CT images. The proposed approach can learn and subsequently imitate the decision‐making mechanism of surgeons during surgical planning. The methods introduced in this study could improve surgical planning efficiency. This study demonstrated the feasibility of predicting postoperative skeletal changes for orthognathic surgical planning by using machine learning, showing potential for reducing the workload of surgeons.
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| Free Research Field |
外科系歯学
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| Academic Significance and Societal Importance of the Research Achievements |
人工知能の優位性は、無限大の症例を学習できる可能性である。これは、あらゆる分野の最高のスペシャリストの臨床経験をはるかに超える。この技術は、人工知能によるビックデータに基づいた口腔外科手術計画の自動化と手術支援ロボットの動作制御に展開が可能である。
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