In recent years,artificial intelligence (AI) has developed rapidly in the field of medical imaging.However,the collaborations among hospitals,research institutes and enterprises are insufficient at the present,and the...In recent years,artificial intelligence (AI) has developed rapidly in the field of medical imaging.However,the collaborations among hospitals,research institutes and enterprises are insufficient at the present,and there are various issues in technological transformation and value landing of products in this area.To solve the core problems in the developmental path of medical imaging AI,the Chinese Innovative Alliance of Industry,Education,Research and Application of Artificial Intelligence for Medical Imaging compiled the White Paper on Medical Image AI in China.This article introduces the current status of collaboration,the clinical demands for medical imaging AI technique,and the key points in AI technology transformation:robustness,usability and security.We are facing challenges of lacking industry standards,data desensitization standard,assessment system,as well as corresponding regulations and policies to realize the application values of AI products in medical imaging.Further development of AI in medical imaging requires breakthroughs of the core algorithm,deep involvement of doctors,input from capitals,patience from societies,and most importantly,the resolutions from government for multiple difficulties in links of landing the technology.展开更多
目的 基于医联系统建立药物治疗管理(MTM)咨询平台,考察平台管理对服药依从性差的高血压患者的疗效。方法 在医联系统设立包含药物治疗管理要素的药学咨询平台。选取住院期间调整过高血压药物治疗方案的依从性差的出院高血压患者80例,...目的 基于医联系统建立药物治疗管理(MTM)咨询平台,考察平台管理对服药依从性差的高血压患者的疗效。方法 在医联系统设立包含药物治疗管理要素的药学咨询平台。选取住院期间调整过高血压药物治疗方案的依从性差的出院高血压患者80例,随机分为观察组和对照组各40例,对照组接受传统医学服务,观察组额外接受线上药物治疗管理咨询服务。在3个月、6个月后比较两组血压达标患者的百分比,并比较6个月后两组患者在服药依从性、高血压防治知识、安全用药认知度。结果 观察组在3个月和6个月时血压达标的患者百分比高于对照组(χ^(2)=8.531,4.344,均P<0.05)。6个月后,观察组用药依从性、高血压防治知识知晓情况、安全用药认知度均优于对照组(χ^(2)=32.903,9.319,9.319,均P<0.05)。6个月后,观察组BMI[(22.72±3.10) kg·m^(-2) vs (23.99±2.17) kg·m^(-2),t=12.093,P=0.028]、高钠摄入比率[22.50%(9/40) vs 50.00%(20/20),χ^(2)=20.163,P=0.017]、不适当饮酒率[5%(5/40) vs 40%(16/40),χ^(2)=39.904,P<0.001]以及焦虑评分[(2.43±1.00)分vs (3.71±1.03)分,t=4.527,P=0.037]、抑郁评分[(2.14±0.36)分vs (3.89±1.20)分,t=17.793,P<0.001]均低于对照组,观察组中等体力活动率高于对照组[77.50%(31/40) vs 57.50%(23/40),χ^(2)=21.472,P=0.016];观察组生命质量总得分高于对照组[(72.63±10.23)分vs (65.28±9.89)分,t=29.198,P<0.001]。结论 通过在医联系统平台开展药物治疗管理(MTM)咨询服务,能提高依从性差的高血压患者服药依从性、对疾病及安全用药的认知,提高患者血压达标率。展开更多
基金Supported by the National Key Research&Development Program of China(2018YFC0116404)Shanghai Health and Family Planning Commission Intelligence Medical Research Program(2018ZHYL0101)Shanghai Science and Technology Commission’s Major Innovation Action Project(17411952400)~~
文摘In recent years,artificial intelligence (AI) has developed rapidly in the field of medical imaging.However,the collaborations among hospitals,research institutes and enterprises are insufficient at the present,and there are various issues in technological transformation and value landing of products in this area.To solve the core problems in the developmental path of medical imaging AI,the Chinese Innovative Alliance of Industry,Education,Research and Application of Artificial Intelligence for Medical Imaging compiled the White Paper on Medical Image AI in China.This article introduces the current status of collaboration,the clinical demands for medical imaging AI technique,and the key points in AI technology transformation:robustness,usability and security.We are facing challenges of lacking industry standards,data desensitization standard,assessment system,as well as corresponding regulations and policies to realize the application values of AI products in medical imaging.Further development of AI in medical imaging requires breakthroughs of the core algorithm,deep involvement of doctors,input from capitals,patience from societies,and most importantly,the resolutions from government for multiple difficulties in links of landing the technology.
文摘目的 基于医联系统建立药物治疗管理(MTM)咨询平台,考察平台管理对服药依从性差的高血压患者的疗效。方法 在医联系统设立包含药物治疗管理要素的药学咨询平台。选取住院期间调整过高血压药物治疗方案的依从性差的出院高血压患者80例,随机分为观察组和对照组各40例,对照组接受传统医学服务,观察组额外接受线上药物治疗管理咨询服务。在3个月、6个月后比较两组血压达标患者的百分比,并比较6个月后两组患者在服药依从性、高血压防治知识、安全用药认知度。结果 观察组在3个月和6个月时血压达标的患者百分比高于对照组(χ^(2)=8.531,4.344,均P<0.05)。6个月后,观察组用药依从性、高血压防治知识知晓情况、安全用药认知度均优于对照组(χ^(2)=32.903,9.319,9.319,均P<0.05)。6个月后,观察组BMI[(22.72±3.10) kg·m^(-2) vs (23.99±2.17) kg·m^(-2),t=12.093,P=0.028]、高钠摄入比率[22.50%(9/40) vs 50.00%(20/20),χ^(2)=20.163,P=0.017]、不适当饮酒率[5%(5/40) vs 40%(16/40),χ^(2)=39.904,P<0.001]以及焦虑评分[(2.43±1.00)分vs (3.71±1.03)分,t=4.527,P=0.037]、抑郁评分[(2.14±0.36)分vs (3.89±1.20)分,t=17.793,P<0.001]均低于对照组,观察组中等体力活动率高于对照组[77.50%(31/40) vs 57.50%(23/40),χ^(2)=21.472,P=0.016];观察组生命质量总得分高于对照组[(72.63±10.23)分vs (65.28±9.89)分,t=29.198,P<0.001]。结论 通过在医联系统平台开展药物治疗管理(MTM)咨询服务,能提高依从性差的高血压患者服药依从性、对疾病及安全用药的认知,提高患者血压达标率。
