Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve ...Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However;the research on intelligent eye diagnosis still faces many challenges;including the lack of standardized and precisely labeled data;multi-modal information analysis;and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis;and explores the implications for the research of eye diagno-sis intelligence.First;a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next;the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last;the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary;research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.展开更多
目的通过Meta分析对脂肪细胞因子(Adipocytokines)与绝经后骨质疏松(postmenopausal osteoporosis,PMOP)发生率的相关性进行系统评价。方法检索CNKI、CBM、维普、万方、PubMed、Web of Science、EMBASE、Cochrane Library等中英文数据...目的通过Meta分析对脂肪细胞因子(Adipocytokines)与绝经后骨质疏松(postmenopausal osteoporosis,PMOP)发生率的相关性进行系统评价。方法检索CNKI、CBM、维普、万方、PubMed、Web of Science、EMBASE、Cochrane Library等中英文数据库有关脂肪细胞因子(瘦素、脂联素、抵抗素)与PMOP相关性的病例对照研究和队列研究,设定文献发表时间为各数据库建库至2020年1月30日。以NOS评分量表严格对文献进行质量评价,并准确提取相关文献信息与数据,应用Revman5.3进行Meta分析和制作漏斗图。结果共纳入14篇病例对照研究,包括1094例研究对象,其中PMOP组615例,对照组479例。Meta分析结果显示:PMOP组瘦素含量低于对照组[MD=-1.58,95%CI(-3.05,-0.11),P=0.03],PMOP组脂联素含量高于对照组[MD=3.41,95%CI(0.84,5.99),P=0.009],PMOP组抵抗素含量高于对照组[MD=0.73,95%CI(0.24,1.21),P=0.003]。结论在绝经后女性中,瘦素低含量、脂联素和抵抗素高含量的人群存在PMOP的可能性更高,而基于瘦素低含量、脂联素高含量时反映BMI水平降低,从而推测绝经后女性BMI水平可能与PMOP发生率呈负相关。展开更多
基金National Natural Science Foundation of China(82274265 and 82274588)Hunan University of Traditional Chinese Medicine Research Unveiled Marshal Programs(2022XJJB003).
文摘Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However;the research on intelligent eye diagnosis still faces many challenges;including the lack of standardized and precisely labeled data;multi-modal information analysis;and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis;and explores the implications for the research of eye diagno-sis intelligence.First;a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next;the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last;the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary;research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.
文摘目的通过Meta分析对脂肪细胞因子(Adipocytokines)与绝经后骨质疏松(postmenopausal osteoporosis,PMOP)发生率的相关性进行系统评价。方法检索CNKI、CBM、维普、万方、PubMed、Web of Science、EMBASE、Cochrane Library等中英文数据库有关脂肪细胞因子(瘦素、脂联素、抵抗素)与PMOP相关性的病例对照研究和队列研究,设定文献发表时间为各数据库建库至2020年1月30日。以NOS评分量表严格对文献进行质量评价,并准确提取相关文献信息与数据,应用Revman5.3进行Meta分析和制作漏斗图。结果共纳入14篇病例对照研究,包括1094例研究对象,其中PMOP组615例,对照组479例。Meta分析结果显示:PMOP组瘦素含量低于对照组[MD=-1.58,95%CI(-3.05,-0.11),P=0.03],PMOP组脂联素含量高于对照组[MD=3.41,95%CI(0.84,5.99),P=0.009],PMOP组抵抗素含量高于对照组[MD=0.73,95%CI(0.24,1.21),P=0.003]。结论在绝经后女性中,瘦素低含量、脂联素和抵抗素高含量的人群存在PMOP的可能性更高,而基于瘦素低含量、脂联素高含量时反映BMI水平降低,从而推测绝经后女性BMI水平可能与PMOP发生率呈负相关。
