Application Of Artificial Intelligence Technology Research Articles

The place of artificial intelligence in modern healthcare and medical education

Introduction. Artificial Intelligence (AI) is becoming an increasingly important tool in modern healthcare. It can revolutionize the ways of medical care, from diagnosis and treatment to high-tech medical care; and make adjustments to modern medical education by providing new methods of teaching and learning. This article considers the place of AI in modern healthcare and medical education, including its benefits, issues and future prospects for using these technologies.The objective was to identify opportunities, define problems, and evaluate the prospects for the use of AI in healthcare and medical education. Methods and materials. The main general scientific research methods (dialectics, induction, deduction, description, comparison, analogy) and specific scientific methods (logical-analytical, system-structural, statistical, etc.). The sources of open information served as the materials for analysis.Results. As a result of this research, the most promising directions of using AI in health care and medical education have been identified, the problems of using these technologies have been defined and ways to overcome them have been outlined.Conclusion. AI is a rapidly growing field of innovation that has the potential to transform many sectors, including health care and medical education, revolutionizing not only the ways of medical care, making it more efficient, accurate and personalized, but also modernizing teaching and learning methods in medical education. However, there are a number of problems associated with the application of AI technologies that require further research into the totality of interactions between all actors (AI technologies, patients, doctors, medical staff, etc.) and the impact of digital technologies on human capacity in terms of medical care, taking into account serious internal risks and external threats that should be considered when making decisions about the introduction of AI technologies in an uncertain, contemporary geopolitical and economic environment, as well as sanctions constraints.

Computer vision-based smart HVAC control system for university classroom in a subtropical climate

To respond to the increasing demand for a comfortable, productive and energy efficient study environment, the application of artificial intelligence technologies in the smart control of Heating, ventilation, and air conditioning (HVAC) systems plays an increasingly important role. This research uses a classroom, equipped with a traditional central HVAC system, in Hong Kong as a case study to demonstrate an innovative approach for a more intelligent and efficient HVAC system. Through a field investigation (i.e. measurement and questionnaire) and Computational Fluid Dynamics (CFD) simulation, it is found that the number and spatial location of students have a significant impact on their thermal comfort. Applying a computer vision model (YOLOv5) detected dynamic occupant information (variations in student numbers and locations) in a classroom, the SimScale (a cloud-native simulation platform) was then used to estimate the current thermal comfort state (predicted mean vote, PMV) and change in PMV (ΔPMV) of students in the classroom. Furthermore, a fuzzy logic control system is implemented to adjust air temperature and air velocity based on the simulation results. Preliminary scenario analysis has proven the feasibility of the proposed smart HVAC system for classrooms, as well as its ability to provide better quality of thermal comfort with more robust control. This study contributes to the smart and low-carbon retrofitting of university buildings with traditional central HVAC systems, while also serving as a benchmark for the energy-efficient transformation of HVAC systems in other types of indoor spaces.

بناء مقياس لإدارة المنظمات الرياضية عالية الأداء باستخدام تقنيات الذكاء الاصطناعي

تناولت الدراسة الحالية واحدة من أهم المشاكل التي تعاني منها المنظمات الرياضية عالية الاداء وهي عدم الاستفادة القصوى من تطبيقات تقنيات الذكاء الاصطناعي، فلقد تمثلت مشكلة البحث الأساسية في معرفة أثر تطبيق تقنيات الذكاء الاصطناعي في ادارة المنظمات الرياضية عالية الأداء وما مدى مساهمة تطبيقات تقنيات الذكاء الاصطناعي في تشخيص ومعالجة المعوقات الادارية والتقنية في اقسام النشاط الرياضي والمدرسي في المديريات العامة للتربية في محافظة بغداد للتوجه نحو الاداء العالي وفي هذا السياق، فلقد تمثل هدف الدراسة الرئيس في بناء مقياس للاطار المفاهيمي لتطبيقات تقنيات الذكاء الاصطناعي في المنظمات الرياضية عالية الاداء -اقسام النشاط الرياضي والمدرسي في المديريات العامة للتربية في محافظة بغداد أنموذجاً. ولغرض تحقيق أهداف الدراسة اتبعت الباحثتان المنهج الوصفي بالأسلوب التحليلي لملامته لطبيعة المشكلة كذلك القيام بدراسة استطلاعيه غير مقننه في اقسام النشاط الرياضي والمدرسي وكانت الاستبانة هي الأداة المستخدمة في ذلك، وتوصلت الدراسة إلى بناء مقياس رصين لتطبيقات تقنيات الذكاء الاصطناعي في المنظمات الرياضية عالية الاداء ومكون من خمس محاور وهي النظم الخبيرة والواقع الافتراضي والوكلاء الاذكياء وتقنيات المعلومات واتمتة العمليات وقد جاء اختيار حجم العينة مساويا للمجتمع لتلام طبيعة البحث، وقد تم اثبات صدق وموثوقية هذا المقياس من خلال الوسائل الإحصائية كمعامل الفا كرو نباخ بمقدار 89,7، لقد احتوت محاور المقياس الخمسة على خمسة وعشرون عبارة، ولقد تراوحت الأهمية النسبية لهذه العبارات ما بين (63-84)%، وكانت اعلى قيمه للأهمية النسبية تبلغ 84% لعباره الثانية من محور النظم الخبيرة وهي (تعمل النظم الخبيرة كخبير استشاري للإدارة العليا في اقسام النشاط الرياضي والمدرسي لتسهم في اتخاذ القرارات الصحيحة)، بينما كانت اقل قيمة للأهمية النسبية لعبارة الأولى من محور الواقع الافتراضي وهي (استخدام الواقع الافتراضي في اقسام النشاط الرياضي والمدرسي يسهم في اكتساب مهارات متنوعة للموظفين ويعمل على تطوير الاداء الاداري والتقني)

ARTIFICIAL INTELLIGENCE: ESSENCE AND DEVELOPMENT PROSPECTS

Problem statement. We live in an era of rapid technological development. Technologies capable of processing a lot of information. Therefore, there is a problem of improving information systems that allow processing information using modern computer technologies. Technologies capable of reproducing the thought processes of the human brain and directing them to the creation and processing of various computer programs, as well as intelligent machines that will completely replace and simplify human work. Namely, the application of artificial intelligence technologies. The purpose of the article is to determine the prerequisites for the emergence of artificial intelligence technologies, consider the advantages and debatable issues regarding the areas of application and limitations of artificial intelligence technologies in everyday human life. Conclusions. Artificial intelligence is one of the most important branches of modern technology. This industry is very young, but the pace of its development is striking every year. It is an integral part of the development of technology in the future and is able to open up new opportunities in many areas of society. Artificial intelligence technologies greatly simplify human work and lead to the development of human activity. The main thing is that technology does not completely replace a person, but only helps to perform complex functions. So, humanity has encountered a technology that radically changes the world. Artificial intelligence gives a person additional opportunity, and makes him more knowledgeable and responsible. As Nick Bostrom noted in his book “Artificial Intelligence. Stages. Threats Strategies” − about the inevitability of the development of both artificial and human intelligence. But in what direction will this development be directed. Will there be a balance between benefits and risks, or is it a leap into an unknown future. However, we must remember that today we are at the beginning of what artificial intelligence can achieve.

Research on Discipline Construction of Civil Engineering Based on Artificial Intelligence

Artificial intelligence is gradually changing the development direction of civil engineering, and the traditional civil engineering specialty needs to be transformed. This paper discusses the application of artificial intelligence technology in the field of civil engineering, and analyzes the opportunities and challenges brought by the combination of artificial intelligence and civil engineering. A feasible scheme for the integration of artificial intelligence and civil engineering disciplines is proposed to help civil engineering majors better adapt to market demand and technological development trend, and realize transformation and upgrading.

Research on the application of artificial intelligence to auto-driving cars

Since the concept of artificial intelligence was introduced in the 1950s, artificial intelligence technologies have emerged more and more frequently. Besides, the application of artificial intelligence technologies in driverless cars has increased, especially in the field of image recognition. Many deep learning methods of image recognition have emerged in the field of autonomous driving. The primary purpose of this paper is to highlight the importance and functionality of using neural networks and image recognition in artificial intelligence for driverless functions. This paper also provides a comprehensive review of the core aspects of driverless technology, the role of image recognition and person recognition in environment perception, the impact of deep learning on driverless behavior decisions, and driverless vehicle kinetic energy control systems. Although the driverless car technology is now being updated, all three modes have great accuracy and results. However, each subsystem still faces many problems and challenges, which may be solved in future research. The driverless car technology would be promoted on a large scale after its safety and suitability are ensured.

Retinal Vascular Image Segmentation Using Improved UNet Based on Residual Module.

In recent years, deep learning technology for clinical diagnosis has progressed considerably, and the value of medical imaging continues to increase. In the past, clinicians evaluated medical images according to their individual expertise. In contrast, the application of artificial intelligence technology for automatic analysis and diagnostic assistance to support clinicians in evaluating medical information more efficiently has become an important trend. In this study, we propose a machine learning architecture designed to segment images of retinal blood vessels based on an improved U-Net neural network model. The proposed model incorporates a residual module to extract features more effectively, and includes a full-scale skip connection to combine low level details with high-level features at different scales. The results of an experimental evaluation show that the model was able to segment images of retinal vessels accurately. The proposed method also outperformed several existing models on the benchmark datasets DRIVE and ROSE, including U-Net, ResUNet, U-Net3+, ResUNet++, and CaraNet.

Research Status and Challenges on the Sustainable Development of Artificial Intelligence Courses from a Global Perspective

The widespread application of artificial intelligence technology in various fields has made the sustainable development of artificial intelligence courses an important direction in the field of artificial intelligence education and teaching. Therefore, it is particularly important to conduct an in-depth analysis of the current research status of “artificial intelligence courses” from a global perspective. Firstly, this article clarifies the three stages of slow development, rapid development, and mature development of artificial intelligence curriculum research through the number and distribution years of the literature. It also conducts a co-authorship analysis on the distribution of countries, institutions, and authors of artificial intelligence curriculum research and identifies countries, institutions, and core authors that have made greater contributions to artificial intelligence curriculum research. Secondly, due to the involvement of artificial intelligence in many different fields of knowledge, an analysis is conducted on the journals that published papers on artificial intelligence courses. Finally, based on the analysis of keyword density and time span, the current research hotspots of artificial intelligence courses are summarized: artificial intelligence technology empowerment courses, two education directions at different stages of artificial intelligence courses, and teaching forms in the field of artificial intelligence courses. The current research trend of artificial intelligence courses is analyzed from three aspects: teaching format, teaching content, and teaching objects. This article provides a theoretical reference value and practical basis for future research and development in the field of artificial intelligence courses, while also providing experience for the efficient and sustainable development of artificial intelligence courses to a certain extent.

Evaluating the Potential of Artificial Intelligence in Orthopedic Surgery for Value-based Healthcare


 
 
 
 The potential of artificial intelligence (AI) to transform value-based healthcare in the area of orthopedic surgery is examined in this research. Orthopedic surgeons and healthcare systems may improve patient outcomes, increase efficiency, and alter care delivery by combining AI algorithms, cutting-edge data analytics, and novel technology. Through case studies and success stories, the article provides a thorough study of the advantages and prospects provided by AI in orthopedic surgery. These instances demonstrate how AI has been successfully applied to several facets of orthopedic surgery, including as diagnosis, planning of the surgical course, surgical navigation, postoperative care, and resource allocation. The ethical and legal ramifications of using AI are also discussed in the study, with a focus on patient autonomy, privacy, accountability, and any potential effects on the healthcare workforce. The potential applications of AI in orthopedic surgery are examined, together with developments in preoperative planning, surgical robotics, remote monitoring, predictive analytics, personalised medicine, research, and innovation. The promise of AI in orthopedic surgery is obvious, despite issues with data quality, privacy, algorithm biases, and legal constraints. The ethical and appropriate application of AI technology in orthopedic surgery has the potential to significantly enhance patient outcomes, lower complications, boost efficiency, and change the way healthcare is provided. This study lays the groundwork for future study and application in the field of orthopedic surgery by offering insightful information on the role of AI in delivering value-based healthcare.
 
 
 
 
 
 
 
 
 

The application of artificial intelligence in college ideological and political education

In the innovation and development of modern education, based on the theory of artificial intelligence technology to improve the timeliness of ideological and political education in colleges and universities, formulate a college ideological and political education system in line with the development of The Times, fully show the rich connotation and application value of artificial intelligence, effectively avoid the potential security risks of intelligent technology, and cultivate more outstanding talents for social construction. Based on the understanding of the development status of artificial intelligence and ideological and political education in colleges and universities, this paper starts from the perspective of the application of artificial intelligence technology, deeply discusses the ideological and political education system in colleges and universities in the new era, and defines effective measures for practical development, so as to improve the level of ideological and political education in colleges and universities.

Application of artificial intelligence technologies to assess water salinity

Topical issues of developing theoretical and methodological tools for constructing a fuzzy logical model for assessing water salinity are considered. When constructing a Sugeno fuzzy logical model for estimating water salinity, a rational number of rules and effective values of their membership functions were chosen. Initially, the membership function parameters were obtained from water industry experts. In the future, it is necessary to adjust the parameters of the membership function using neural networks to obtain the minimum number of fuzzy rules.

Application of Artificial Intelligence Technology in Museums Writing-Conversation

Application of Artificial Intelligence Technology in Museums Writing-Conversation

LEGAL REGIME OF WORKS OF ARCHITECTURE CREATED WITH THE APPLICATION OF ARTIFICIAL INTELLIGENCE

In the article the question of determination of legal regime of the works of architecture created with application of artificial intelligence technologies are researched. It is defined that architectural activity is one of the most important activities, so an architect has increased responsibility for the creation of works of architecture and architectural objects. It is established that works of architecture as objects of copyright are characterized by a complex multi-stage process of their creation. It is said about both drawings and sketches, and about constructed buildings as well. It is emphasized that from the point of view of copyright, architectural activity is a broader concept than the creation of a work of architecture, because it includes both the actual creative process of finding an architectural solution and the technological process of building edification, including work of performers, whose activities are not creative. Moreover, the architect as a subject of copyright has both the right and the obligation to carry out architectural supervision, which is conditioned by his increased responsibility for the result of architectural activity. It is underlined that currently architectural activity is carried out with the help of modern IT technologies, in particular including artificial intelligence technologies, which can significantly replace human activity and create new original objects. However, it was concluded that artificial intelligence cannot be recognized as an object of copyright, especially if it is a work of architecture. Firstly, according to the current legislation of Ukraine and other countries, as well as scientific doctrine, only a human is a subject who can carry out intellectual, creative activity. Secondly, any activity in which artificial intelligence is used must be controlled by a responsible person, especially in such a socially important field as architecture. Copyright for an architectural object should be divided between the developer of artificial intelligence and the architect depending on the degree of use of the corresponding software product in the creation of the work of architecture and the contribution of the architect himself as a user of artificial intelligence.

Amotivation in AI injected EFL classrooms: Implications for teachers

Motivation is an essential aspect of students' success in their learning, and an investigation into the factors that could deteriorate their motivation could shed light on that issue. This study investigates amotivation during the application of artificial intelligence technology in EFL classrooms or AI-injected learning. As artificial intelligence is still a relatively new technology, but its application is becoming increasingly more prevalent in language classrooms, this study aims to explore factors that could negatively affect EFL students’ motivation to use technology in their learning. This study included questionnaires and interviews to collect data from 133 EFL students in an Indonesian higher education institution. The students had experience working with AI applications in their learning. The statistical analysis of the questionnaire data suggested that, although not dominant, amotivation was evident among the students. More than 25% of the students experienced amotivation while learning using the AI apps. The qualitative analysis of the interview data revealed three factors that could give rise to amotivation among the students when working with the AI apps: intelligence, user interface, and lesson design. Intelligence and user interface were internal to the AI apps, while lesson design was associated with the teachers' pedagogical competence in preparing the lessons for their students. This study suggests that app design and lesson design are two motivational factors that could affect students’ motivation in AI-injected learning.

Research on the Analysis of Classroom Teaching Behavior Based on Artificial Intelligence technology

The study of classroom teaching behavior is usually the primary concern of teaching research, and the early methods of analyzing classroom teaching behavior require a lot of human and material resources, but with the development of information technology, artificial intelligence technology is more and more widely used in education, and the use of artificial intelligence technology can quickly and easily achieve the analysis of classroom teaching behavior, and the application of artificial intelligence technology in the analysis of classroom teaching behavior It plays an important role in the professional development of teachers and the improvement of teaching quality. At this stage, most of the research on analyzing classroom teaching behavior uses computer vision technology and face recognition technology; analyzing classroom teaching behavior requires a large amount of data, and the smart classroom provides a data source and support platform for this research. Artificial intelligence technology involves a very large number of technologies, and how other related technologies can be integrated into various aspects of education and teaching to achieve a deep integration of artificial intelligence and education is a question that should be considered in future research.

An intelligent optimization method for the HCSB blanket based on an improved multi-objective NSGA-III algorithm and an adaptive BP neural network

To improve the performance of blanket: maximizing the tritium breeding rate (TBR) for tritium self-sufficiency, and minimizing the Dose of backplate for radiation protection, most previous studies are based on manual corrections to adjust the blanket structure to achieve optimization design, but it is difficult to find an optimal structure and tends to be trapped by local optimizations as it involves multi-physics field design, which is also inefficient and time-consuming process. The artificial intelligence (AI) maybe is a potential method for the optimization design of the blanket. So, this paper aims to develop an intelligent optimization method based on an improved multi-objective NSGA-III algorithm and an adaptive BP neural network to solve these problems mentioned above. This method has been applied on optimizing the radial arrangement of a conceptual design of CFETR HCSB blanket. Finally, a series of optimal radial arrangements are obtained under the constraints that the temperature of each component of the blanket does not exceed the limit and the radial length remains unchanged, the efficiency of the blanket optimization design is significantly improved. This study will provide a clue and inspiration for the application of artificial intelligence technology in the optimization design of blanket.

Artificial intelligence in personalised learning: a bibliometric analysis

PurposeThis paper aims to present a comprehensive overview of the patterns and trends of publications on artificial intelligence (AI) in personalised learning. It addresses the need to investigate the intellectual structure and development of this area in view of the growing amount of related research and practices.Design/methodology/approachA bibliometric analysis was conducted to cover publications on AI in personalised learning published from 2000 to 2022, including a total of 1,005 publications collected from the Web of Science and Scopus. The patterns and trends in terms of sources of publications, intellectual structure and major topics were analysed.FindingsResearch on AI in personalised learning has been widely published in various sources. The intellectual bases of related work were mostly on studies on the application of AI technologies in education and personalised learning. The relevant research covered mainly AI technologies and techniques, as well as the design and development of AI systems to support personalised learning. The emerging topics have addressed areas such as big data, learning analytics and deep learning.Originality/valueThis study depicted the research hotspots of personalisation in learning with the support of AI and illustrated the evolution and emerging trends in the field. The results highlight its latest developments and the need for future work on diverse means to support personalised learning with AI, the pedagogical issues, as well as teachers’ roles and teaching strategies.

Artificial Intelligence and Sustainability

Sustainability is one of our most important global goals. To achieve this goal, many areas suchas environmental awareness, efficient use of resources, and waste management need to be addressed.Artificial intelligence has become an important tool to achieve this goal by offering various applications indifferent sectors of sustainability. For example, artificial intelligence technologies can be used to producesustainable solutions in areas such as energy and resource efficiency, agriculture, water management, wastemanagement, and transportation. Additionally, artificial intelligence can also be used for monitoring andpreventing environmental damage. However, there are potential risks of artificial intelligence technologiesin sustainability. Therefore, in order to use artificial intelligence technologies in line with sustainabilitygoals, ethical and legal regulations should be increased, as well as user awareness. This study presents aperspective on the importance and applications of artificial intelligence technologies in sustainability, andhow these technologies can contribute to sustainability goals.

Design and Application of Intelligent Classroom for English Language and Literature Based on Artificial Intelligence Technology

ABSTRACT The phenomenon of economic globalization has led to a greater intermingling of economy and culture, which has brought about new demands for innovative talent cultivation in universities. To meet these demands, universities need to cultivate more students with high language ability who are capable of communicating and exchanging ideas between different cultures. This requires universities to innovate their language cultivation programs and improve students’ language ability and cultural literacy. The cultivation of international language ability, particularly in English language and literature, plays a vital role in enhancing students’ comprehensive language literacy. However, traditional teaching methods have been found to be less effective in achieving desired learning outcomes. As such, there is a need to adopt more innovative teaching methods that stimulate students’ interest in learning and facilitate their experience of English language and literature in authentic cultural contexts. One promising approach to achieve these objectives is through the integration of smart classroom teaching and artificial intelligence (AI) technology. This approach offers a range of benefits, including personalized learning experiences, real-time feedback, and interactive engagement. Furthermore, the application of AI technology can assist teachers in guiding students to experience the cultural background of English language and literature in English situations, helping students to exercise their English language application skills. This paper proposes a method and application assessment for designing a smart classroom for English language and literature based on AI technology. The primary aim of this approach is to help students become familiar with the English context and cultural background, thereby improving their overall language proficiency. The proposed approach seeks to facilitate a more engaging and effective learning experience for students, allowing them to develop their language skills and cultural literacy in a meaningful and impactful way.

The application of artificial intelligence technology in education influences Chinese adolescent’s emotional perception

Humans need to accurately infer the intentions and feelings of others to engage in successful social interaction. However, the application of artificial intelligence technology in Education (AIEd) forms a human–machine collaborative environment which changed the interaction relationship of individuals, it may have an affect on them. This study aimed to explore whether AIEd affects adolescents’ emotional perception. Combined with the actual teaching situation and the result of the questionnaire, 1332 students recruited through random sampling from AI Curriculum Reform Demonstration Schools in Guangzhou participated in this study. Different emotional priming stimulative materials (sentences and situational pictures) were used in the experiments. The task was designed to investigate adolescents’ reaction time to emotional faces (positive, negative). After eliminating blank data and invalid data with response time greater than 150 ms, 977 and 962 valid data were included in the statistical analysis in experiment 1 and experiment 2 respectively. Results show that AIEd has a negative effect on adolescents’ emotional perception. Prior research has focused on theory to the exclusion of practical applications and the psychological impact of AIEd, thus this study makes an innovative contribution in exploring the impact of the application of artificial intelligence technology in education on adolescents’ physical and mental development by using empirical research methods.