Lung cancer is one of the most leading causes of death throughout the world,and there is an urgent requirement for the precision medical management of it.Artificial intelligence(AI)consisting of numerous advanced tech...Lung cancer is one of the most leading causes of death throughout the world,and there is an urgent requirement for the precision medical management of it.Artificial intelligence(AI)consisting of numerous advanced techniques has been widely applied in the field of medical care.Meanwhile,radiomics based on traditional machine learning also does a great job in mining information through medical images.With the integration of AI and radiomics,great progress has been made in the early diagnosis,specific characterization,and prognosis of lung cancer,which has aroused attention all over the world.In this study,we give a brief review of the current application of AI and radiomics for precision medical management in lung cancer.展开更多
In the field of cranio-maxillofacial(CMF)surgery, surgical simulation is becoming a very powerful tool to plan surgery and simulate surgical results before actually performing a CMF surgical procedure.Reliable predict...In the field of cranio-maxillofacial(CMF)surgery, surgical simulation is becoming a very powerful tool to plan surgery and simulate surgical results before actually performing a CMF surgical procedure.Reliable prediction of facial soft tissue changes is in particular essential for better preparation and to shorten the time taken for the operation. This paper presents a surgical simulation system to predict facial soft tissue changes caused by the movement of bone segments during CMF surgery. Two experiments were designed to test the feasibility of this simulation system. The test results demonstrate the feasibility of fast and good prediction of post-operative facial appearance, with texture. Our surgical simulation system is applicable to computer-assisted CMF surgery.展开更多
基金This research is funded by the National Natural Science Foundation of China(Grants No.81871890 and 91859203)the Science and Technology Project of Chengdu(Grant No.2017-CY02–00030-GX).
文摘Lung cancer is one of the most leading causes of death throughout the world,and there is an urgent requirement for the precision medical management of it.Artificial intelligence(AI)consisting of numerous advanced techniques has been widely applied in the field of medical care.Meanwhile,radiomics based on traditional machine learning also does a great job in mining information through medical images.With the integration of AI and radiomics,great progress has been made in the early diagnosis,specific characterization,and prognosis of lung cancer,which has aroused attention all over the world.In this study,we give a brief review of the current application of AI and radiomics for precision medical management in lung cancer.
基金supported by a grant from the National Natural Science Foundation of China (Nos. 61402305, 61375065, 61432014, and 61432012)the National Hightech R&D Program of China (863 Program) (No. 2013AA013803)the Department of Science and Technology of Sichuan Province (No. 2014JY0116)
文摘In the field of cranio-maxillofacial(CMF)surgery, surgical simulation is becoming a very powerful tool to plan surgery and simulate surgical results before actually performing a CMF surgical procedure.Reliable prediction of facial soft tissue changes is in particular essential for better preparation and to shorten the time taken for the operation. This paper presents a surgical simulation system to predict facial soft tissue changes caused by the movement of bone segments during CMF surgery. Two experiments were designed to test the feasibility of this simulation system. The test results demonstrate the feasibility of fast and good prediction of post-operative facial appearance, with texture. Our surgical simulation system is applicable to computer-assisted CMF surgery.
