Cardiac coronary angiography is a major technique that assists physicians during interventional heart surgery.Under X-ray irradiation,the physician injects a contrast agent through a catheter and determines the corona...Cardiac coronary angiography is a major technique that assists physicians during interventional heart surgery.Under X-ray irradiation,the physician injects a contrast agent through a catheter and determines the coronary arteries’state in real time.However,to obtain a more accurate state of the coronary arteries,physicians need to increase the fre-quency and intensity of X-ray exposure,which will inevitably increase the potential for harm to both the patient and the surgeon.In the work reported here,we use advanced deep learning algorithms to fi nd a method of frame interpola-tion for coronary angiography videos that reduces the frequency of X-ray exposure by reducing the frame rate of the coronary angiography video,thereby reducing X-ray-induced damage to physicians.We established a new coronary angiography image group dataset containing 95,039 groups of images extracted from 31 videos.Each group includes three consecutive images,which are used to train the video interpolation network model.We apply six popular frame interpolation methods to this dataset to confi rm that the video frame interpolation technology can reduce the video frame rate and reduce exposure of physicians to X-rays.展开更多
Objective:To evaluate the health-care level(HCL),one of the most extensively used indicators to assess the level of medical exposure,and its influencing factors in China.Methods:Based on the data from the China Statis...Objective:To evaluate the health-care level(HCL),one of the most extensively used indicators to assess the level of medical exposure,and its influencing factors in China.Methods:Based on the data from the China Statistical Yearbook of the National Bureau of Statistics and other public documents,HCL was calculated in terms of the number of physicians per head of population throughout the country.Multiple linear regression was used to analyze the association of HCL with main socioeconomic factors,including population size,area,number of administrative divisions and gross domestic product(GDP).Results:Since 2015,there has been at least one physician for every 1,000 people in China on average.However,by 2019,there has yet been one physician for more than 1,000 people in each of two provinces.By 2020,there was at least one physician for every 1,000 people across all 31 provincial-level administrative districts(provinces).The population size and GDP were the influencing factors on HCL,with correlation coefficients of 0.416 and-0.583,respectively.Furthermore,a moderate correlation was found between HCL and the frequency of medical exposure(FME)to ionizing radiation(r=-0.620,P=0.028).Conclusion:There has been at least one physician for every 1,000 people since 2015,but there are great differ-ences between various provinces.HCL as an indicator to evaluate level of medical exposure is warranted further research in China.展开更多
文摘Cardiac coronary angiography is a major technique that assists physicians during interventional heart surgery.Under X-ray irradiation,the physician injects a contrast agent through a catheter and determines the coronary arteries’state in real time.However,to obtain a more accurate state of the coronary arteries,physicians need to increase the fre-quency and intensity of X-ray exposure,which will inevitably increase the potential for harm to both the patient and the surgeon.In the work reported here,we use advanced deep learning algorithms to fi nd a method of frame interpola-tion for coronary angiography videos that reduces the frequency of X-ray exposure by reducing the frame rate of the coronary angiography video,thereby reducing X-ray-induced damage to physicians.We established a new coronary angiography image group dataset containing 95,039 groups of images extracted from 31 videos.Each group includes three consecutive images,which are used to train the video interpolation network model.We apply six popular frame interpolation methods to this dataset to confi rm that the video frame interpolation technology can reduce the video frame rate and reduce exposure of physicians to X-rays.
文摘Objective:To evaluate the health-care level(HCL),one of the most extensively used indicators to assess the level of medical exposure,and its influencing factors in China.Methods:Based on the data from the China Statistical Yearbook of the National Bureau of Statistics and other public documents,HCL was calculated in terms of the number of physicians per head of population throughout the country.Multiple linear regression was used to analyze the association of HCL with main socioeconomic factors,including population size,area,number of administrative divisions and gross domestic product(GDP).Results:Since 2015,there has been at least one physician for every 1,000 people in China on average.However,by 2019,there has yet been one physician for more than 1,000 people in each of two provinces.By 2020,there was at least one physician for every 1,000 people across all 31 provincial-level administrative districts(provinces).The population size and GDP were the influencing factors on HCL,with correlation coefficients of 0.416 and-0.583,respectively.Furthermore,a moderate correlation was found between HCL and the frequency of medical exposure(FME)to ionizing radiation(r=-0.620,P=0.028).Conclusion:There has been at least one physician for every 1,000 people since 2015,but there are great differ-ences between various provinces.HCL as an indicator to evaluate level of medical exposure is warranted further research in China.
