The role of artificial intelligence technology in the care of diabetic foot ulcers: the past, the present, and the future

Foot ulcers are common complications of diabetes mellitus and substantially increase the morbidity and mortality due to this disease.Wound care by regular monitoring of the progress of healing with clinical review of the ulcers,dressing changes,appropriate antibiotic therapy for infection and proper offloading of the ulcer are the cornerstones of the management of foot ulcers.Assessing the progress of foot ulcers can be a challenge for the clinician and patient due to logistic issues such as regular attendance in the clinic.Foot clinics are often busy and because of manpower issues,ulcer reviews can be delayed with detrimental effects on the healing as a result of a lack of appropriate and timely changes in management.Wound photographs have been historically useful to assess the progress of diabetic foot ulcers over the past few decades.Mobile phones with digital cameras have recently revolutionized the capture of foot ulcer images.Patients can send ulcer photographs to diabetes care professionals electronically for remote monitoring,largely avoiding the logistics of patient transport to clinics with a reduction on clinic pressures.Artificial intelligence-based technologies have been developed in recent years to improve this remote monitoring of diabetic foot ulcers with the use of mobile apps.This is expected to make a huge impact on diabetic foot ulcer care with further research and development of more accurate and scientific technologies in future.This clinical update review aims to compile evidence on this hot topic to empower clinicians with the latest developments in the field.

Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty

BACKGROUND Knee diseases are more common in middle-aged and elderly people,so artificial knee replacement is also more used in middle-aged and elderly people.Although the patient’s pain can be reduced through surgery,often accompanied by moderate pain after surgery and neutralization,which not only increases the psychological burden of the patient,but also greatly reduces the postoperative recovery effect,and may also lead to the occurrence of postoperative adverse events in severe cases.AIM To investigate the analgesic effect of artificial intelligence(AI)and ultrasoundguided nerve block in total knee arthroplasty(TKA).METHODS A total of 92 patients with TKA admitted to our hospital from January 2021 to January 2022 were opted and divided into two groups according to the treatment regimen.The control group received combined spinal-epidural anesthesia.The research group received AI technique combined with ultrasound-guided nerve block anesthesia.The sensory block time,motor block time,visual analogue scale(VAS)at different time points and complications were contrasted between the two groups.RESULTS The time of sensory block onset and sensory block perfection in the research group was shorter than those in the control group,but the results had no significant difference(P>0.05).Duration of sensory block in the research group was significantly longer than those in the control group(P<0.05).The time of motor block onset and motor block perfection in the research group was shorter than those in the control group,but the results had no significant difference(P>0.05).Duration of motor block in the research group was significantly longer than those in the control group.The VAS scales of the research group were significantly lower than that of the control group at different time points(P<0.05).The postoperative hip flexion and abduction range of motion in the research group were significantly better than those in the control group at different time points(P<0.05).The incidence of complications was significantly lower in the research group than in the control group(P=0.049).CONCLUSION In TKA,the combination of AI technology and ultrasound-guided nerve block has a significantly effect,with fewer postoperative complications and significantly analgesic effect,which is worthy of application.

Application and Development of Computer Artificial Intelligence Technology

In the development of modern society,Internet technology has been popularized and applied.Artificial intelligence technology is not only found in science fiction movies,but has been widely used in industry,tertiary industry and people’s livelihood.Under the background of rapid advancement of science and technology,computer artificial intelligence technology will play an important role in the future.Due to a series of problems in the development of computer artificial intelligence technology,it is necessary for relevant personnel to strengthen research on the application and development of computer artificial intelligence technology.The paper mainly studies the application and development of computer artificial intelligence technology,and hopes to bring more convenience to the daily life of the people.

Study on Cognitive Optical Network Structure and Self-optimization with the Application of Artificial Intelligence Technology

Cognitive optical network is the intermediate to combine artificial intelligence technology with network,and also the important network technology to promote network intelligence level constantly.In the paper,it analyzes the cognitive optical network structure with the application of artificial intelligence technology by starting from the basic conditions of cognitive network and cognitive optional network on the basis of fully understanding the connotation of cognitive network and cognitive optical network,and explores its self-governance functions,so as to better realize the self-optimization and self-configuration of network.

Call for Papers Journal of Electronic Science and Technology Announcing a Special Issue on Artificial Intelligence with Rough Sets

Submission Deadline： 10 December 2010Since the introduction of rough sets in 1982 by Professor Zdzislaw Pawlak, we have witnessed great advances in both theory and applications. In order to promote development of rough sets, we are preparing a special issue on ＂Artificial Intelligence with Rough Sets＂ published by JEST （International）, Journal of Electronic Science and Technology, which is a refereed international journal focusing on IT area. The aim of this special issue is to present the current state of the research in this area, oriented towards both theoretical and applications aspects of rough sets.

China, France and the Netherlands to Deepen Cooperation on Information Technology and Artificial Intelligence

On July 11,2017,an agreement was signed in Beijing to renew and strengthen the collaboration between the CAS Institute of Automation(CASIA,China),Institut National de Recherche en Informatique et en Automatique(Inria,France),and Centrum Wiskunde&Informatica(CWI,the Netherlands),which are the founding members of the Sino-European Laboratory in Computer Science,

A Bibliometric Analysis of the Application of Artificial Intelligence in Chinese Cultural Heritage Based on CiteSpace

This study aims to summarize the current state and research hotspots of artificial intelligence(AI)applications in the field of cultural heritage,analyze development trends,and provide valuable insights and decision-making references for professionals and researchers.The study further seeks to propose new perspectives for the protection and inheritance of cultural heritage.By using CiteSpace software to conduct a bibliometric analysis and generate visual maps based on literature data from the CNKI(China National Knowledge Infrastructure)database,this study analyzes key aspects such as annual publication volume,authors,institutions,countries,keyword clustering,and keyword bursts.The research results show a significant increase in studies on the application of artificial intelligence in cultural heritage preservation since 2016,with a focus on digital preservation,virtual reconstruction,and innovative inheritance of cultural heritage.The research on intangible cultural heritage,in particular,stands out.Key topics such as artificial intelligence,intangible cultural heritage,digitization,and rural revitalization have emerged as current research hotspots.In the future,the application of cutting-edge technologies such as the metaverse and big data in cultural heritage will likely become major research trends.

Reform and Development of English Teaching in Colleges and Universities with the Integration of ChatGPT Technology

As an artificial intelligence-powered language generation model based on natural language processing,ChatGPT,like other artificial intelligence technologies,possesses super real-time dialogue capabilities and is considered an innovative and intelligent auxiliary teaching tool in the field of language learning.This article first analyzes the current state of development of artificial intelligence technologies such as ChatGPT.Secondly,it examines the challenges encountered in the reform and development of English teaching in colleges and universities in China.Lastly,it summarizes the applications and recommendations for using ChatGPT technology in college-level English teaching.

Research and Application of Artificial Intelligence in Electric Guitar Performance

The article explores the application of artificial intelligence technology in electric guitar playing.It delves into the advantages of artificial intelligence and its seamless integration into electric guitar performance.Additionally,it investigates the application of artificial intelligence technology through an intelligent playing robot.The research aims to offer substantial support for the advancement of artificial intelligence in electric guitar performance.

Decision Making Support System(DSS)——A Synthesized and Integrated Crystallization of Systems Engineering, Artificial Intelligence and Electronic Technologies

I firmly believe that of systems engineering is the requirement-driven force for the progress ofsoftware engineering, artificial intelligence and electronic technologies. The development ofsoftware engineering, artificial intelligence and electronic technologies is the technical supportfor the progress of systems engineering. INTEGRATION can be considered as "bridging" the ex-isting technologies and the People together into a coordinated SYSTEM.

Generative Artificial Intelligence Technology Driving High-quality Development of Ice and Snow Tourism Industry:Factor Linkage,System Construction and Digital Governance

Generative Artificial Intelligence technology embedded brings new opportunities and challenges for thehigh-quality development of ice and snow tourism industry.Using literature and other research methods,we constructed the element linkage and system of generative AI technology to drive the high-quality development of theice and snow tourism industry and proposed the digital governance path.The results showed that:(1)The factorlinkage of high-quality development of ice and snow tourism industry with integrated basic structure and coupledcentral system of multi-factor linkage;multi-directional strategic objectives and synergistic triple benefits;and intelligent operation logic and precise matching of supply and demand has been constructed.(2)Based on the synergyof digital governance elements,a five-factor synergistic development system was built with digital talent elements,technological innovation elements,product innovation elements,data resource elements and channel innovationelements.(3)The synergy of elements provided digital governance path guidelines for the high-quality developmentof ice and snow tourism industry,digital governance system:precise supply of policies and regulations,andstrengthening of soft and hard constraints to promote;digital governance structure:building a three-dimensionalregulatory mechanism,and advancing the governance process of targeting;digital governance subject:driving thetwo-way reach of the governance subject,and strengthening the common governance of pluralistic subjects;digitalgovernance capacity:precise allocation of governance resources,and driving the transformation and upgrading ofelemental endowments.The results of this research can help to provide ideas and reference for the high-qualitydevelopment of ice and snow tourism industry empowered by Generative Artificial Intelligence technology andimprove the theoretical research on the high-quality development of ice and snow tourism industry.

Research on Innovation and Application of Integrated Media Content Generation Based on Artificial Intelligence

As an emerging form of media,integrated media not only enriches the expression and dissemination of information,but integrates various forms,both online and offline,to enable resource flow and cross-platform communication.With the development and application of information technology and 5G technology,the information needs of the broad audience have undergone a shift from a single media format to more diversified and personalized integrated media content.The rapid development of Artificial Intelligence(AI)technology has provided strong support for the generation and innovation of integrated media content.Through automation,multimodal content generation,immersive experience,and other ways,the application of Artificial Intelligence technology can not only improve the efficiency of content creation and enrich creative expression forms,but also provide users with more diversified and personalized information.

Aided innovative design of bathroom products based on artificial intelligence technology

Artificial intelligence technology, mainly refers to strengthening the artificial way, so as to combinecomputer technology with product design. Firstly, the auxiliary innovation of bathroomproducts based on artificial intelligence technology is proposed, then the user characteristicsare analysed, and the auxiliary design framework of bathroom products is designed. Finally, theinnovation model is established to realise the auxiliary innovation design of bathroom products.Experimental results show that the proposed method can effectively improve the interactionefficiency and response time, and reduce the false response.

Applications of cutting-edge artificial intelligence technologies in biomedical literature and document mining

The biomedical literature is a vast and invaluable resource for biomedical research.Integrating knowledge from the literature with biomedical data can help biological studies and the clinical decision-making process.Efforts have been made to gather information from the biomedical literature and create biomedical knowledge bases,such as KEGG and Reactome.However,manual curation remains the primary method to retrieve accurate biomedical entities and relationships.Manual curation becomes increasingly challenging and costly as the volume of biomedical publications quickly grows.Fortunately,recent advancements in Artificial Intelligence(AI)technologies offer the potential to automate the process of curating,updating,and integrating knowledge from the literature.Herein,we highlight the AI capabilities to aid in mining knowledge and building the knowledge base from the biomedical literature.

Surface-enhanced Raman scattering on nanomaterials for cancer and pathogens diagnosis

Surface-enhanced Raman scattering(SERS)is a non-invasive spectroscopic technique that provides specific chemical fingerprint information for biomarkers in cancer and pathogen diagnosis.However,the SERS strategies are limited by the non-specific interactions between substrates and co-existing substances in biological matrices and the challenges of obtaining molecular fingerprint information from the complex vibrational spectrum.In recent years,the rapid development of novel substrates with high SERS activity has opened up new opportunities for their applications in cancer and pathogen diagnosis.The aim of this review is to present the recent progress and perspectives of novel SERS-based substrates for cancer and pathogen diagnostic applications.First,we will introduce recently developed SERS-active nanomaterials and discuss the influencing factors of the SERS signals.Second,the advantages of SERS in the diagnosis of cancer and pathogens will be given.Third,we will review the latest breakthroughs in cancer and pathogen detection research with SERS technology,as well as the new opportunities for SERS applications brought about by artificial intelligence(Al)technology.In addition,the novel microfluidic-SERS platforms for cancer and pathogens diagnosis will also be discussed.Finally,we will summarize the challenges and future perspectives of SERS technology in the field of early cancer diagnosis and rapid pathogen detection.It is highly expected that this review could benefit a comprehensive understanding of the research status of the SERS-active nanomaterials and arouse the research enthusiasm for them,leading to accelerated clinical translation of SERS technology in cancer and pathogen diagnosis.