Systematic bibliometric and visualized analysis of research hotspots and trends on the application of artificial intelligence in glaucoma from 2013 to 2022

AIM:To conduct a bibliometric analysis of research on artificial intelligence(AI)in the field of glaucoma to gain a comprehensive understanding of the current state of research and identify potential new directions for future studies.METHODS:Relevant articles on the application of AI in the field of glaucoma from the Web of Science Core Collection were retrieved,covering the period from January 1,2013,to December 31,2022.In order to assess the contributions and co-occurrence relationships among different countries/regions,institutions,authors,and journals,CiteSpace and VOSviewer software were employed and the research hotspots and future trends within the field were identified.RESULTS:A total of 750 English articles published between 2013 and 2022 were collected,and the number of publications exhibited an overall increasing trend.The majority of the articles were from China,followed by the United States and India.National University of Singapore,Chinese Academy of Sciences,and Sun Yat-sen University made significant contributions to the published works.Weinreb RN and Fu HZ ranked first among authors and cited authors.American Journal of Ophthalmology is the most impactful academic journal in the field of AI application in glaucoma.The disciplinary scope of this field includes ophthalmology,computer science,mathematics,molecular biology,genetics,and other related disciplines.The clustering and identification of keyword nodes in the co-occurrence network reveal the evolving landscape of AI application in the field of glaucoma.Initially,the hot topics in this field were primarily“segmentation”,“classification”and“diagnosis”.However,in recent years,the focus has shifted to“deep learning”,“convolutional neural network”and“artificial intelligence”.CONCLUSION:With the rapid development of AI technology,scholars have shown increasing interest in its application in the field of glaucoma.Moreover,the application of AI in assisting treatment and predicting prognosis in glaucoma may become a future research hotspot.However,the reliability and interpretability of AI data remain pressing issues that require resolution.

Clinical evidence and potential mechanisms of Chinese medicines for the treatment of diabetic retinopathy

Diabetic retinopathy is one of the main causes of visual impairment and blindness on a global scale. At present, thelimitations of anti-vascular endothelial growth factor agents, steroids, laser photocoagulation, and vitreous surgery haveled to a growing awareness of the role of Chinese medicines in the treatment of diabetic retinopathy. This review firstdescribes the ingredients and characteristics of the formulae including Chinese herbal formulaes, Chinese patent drugsand ancient processed drugs and summarizes the application of Chinese medicines and their mechanisms of action in thetreatment of diabetic retinopathy. Due to the complexity of Chinese medicines, in-depth mechanisms, side effects of herb,and drug interactions need to be elaborated in future research. Chinese medicines have the potencial to protect theresidual eyesight and delay the progression of disease, thereby offering a beneficial, exploitable option in thetreatment/prevention of diabetic retinopathy.

AN INNOVATIVE ORDERS-OF-MAGNITUDE AHP APPROACH OF LEADING INDUSTRIES SELECTION:CASE STUDY OF JIANGBEI INDUSTRIAL CLUSTERS IN CHINA

In current stage of China Industrial Transfer, how to select the leading industries is an extremely difficult decision. In this research, we study the selection problem of Jiangbei Industrial Clusters in Anhui Province. Total thirty-three industries can be transferred to Jiangbei Industrial Clusters, however due to limited capacity, Jiangbei Industrial Clusters can only accommodate a few of them. The difficulties of such decision include： 1） the decisions are qualitative within a complex and uncertain environment; 2） the number of alternatives is beyond the upper bound of comparing elements in general decision making methods. We introduce a new methodology-the Orders-of-Magnitude approach of the Analytic Hierarchy Process （OM-AHP） to solve such selection decision. The OM-AHP follows AHP philosophy to structure qualitative questions and uses ＂pivot＂ element to handle the situation when the alternatives become more than seven. By employing OM-AHP methodology, we found the modern logistics industry and ship ＆ marine equipment etc., are identified to be the leading industries; particularly, we recommend to give higher priority in modern logistics industry and the advanced equipment manufacturing industry, given these two industries could dramatically improve the overall comprehensive economic strength and significantly enhance competitive advantages of the Jiangbei Industrial Clusters.

Evolution of sedimentary facies and fossil communities in the Middle Permian Maokou Formation in Zigui County, Hubei Province,South China

A geological event that happened at the end of the Middle Permian resulted in different levels of erosion in a shallow-water platform of South China, which led to diverse geological records in different sections. The Lianziya section in western Hubei Province of South China has a well-exposed stratigraphic sequence of the late Middle Permian rocks with abundant fossils and sedimentary facies types, providing new evidences for understanding the evolution of marine biota and environment in the late Middle Permian. Our study shows that four fossil communities can be recognized with the change of sedimentary facies in the late Middle Permian: Foraminiferal-algal community, phylloid algal community, bryozoan community and Ungdarella community. The foraminiferal-algal community is dominated by fusulinids and calcareous algae, but was soon replaced by the phylloid algal community. With an increase of terrestrial input, the phylloid algal community was again replaced by the bryozoan community. Near the end of the Middle Permian, with a decrease of terrestrial input, the bryozoan fossil community disappeared while the Ungdarella community became dominant. A 10 cm-thick weathered crust occurred at the top of the Middle Permian limestone, marking a large amplitude fall in sea-level and the beginning of a terrestrial erosion stage. The sedimentary facies and fossil community changes in the Lianziya section indicates that the Middle Permian crisis was a gradual process while the sea-level fall mainly occurred in the latest Middle Permian.