Importance Of Artificial Intelligence Research Articles

The Role of Artificial Intelligence in the Diagnosis and Treatment of Ulcerative Colitis

Background and objectives: This review aims to delve into the role of artificial intelligence in medicine. Ulcerative colitis (UC) is a chronic, inflammatory bowel disease (IBD) characterized by superficial mucosal inflammation, rectal bleeding, diarrhoea and abdominal pain. By identifying the challenges inherent in UC diagnosis, we seek to highlight the potential impact of artificial intelligence on enhancing both diagnosis and treatment methodologies for this condition. Method: A targeted, non-systematic review of literature relating to ulcerative colitis was undertaken. The PubMed and Scopus databases were searched to categorize a well-rounded understanding of the field of artificial intelligence and its developing role in the diagnosis and treatment of ulcerative colitis. Articles that were thought to be relevant were included. This paper only included articles published in English. Results: Artificial intelligence (AI) refers to computer algorithms capable of learning, problem solving and decision-making. Throughout our review, we highlighted the role and importance of artificial intelligence in modern medicine, emphasizing its role in diagnosis through AI-assisted endoscopies and histology analysis and its enhancements in the treatment of ulcerative colitis. Despite these advances, AI is still hindered due to its current lack of adaptability to real-world scenarios and its difficulty in widespread data availability, which hinders the growth of AI-led data analysis. Conclusions: When considering the potential of artificial intelligence, its ability to enhance patient care from a diagnostic and therapeutic perspective shows signs of promise. For the true utilization of artificial intelligence, some roadblocks must be addressed. The datasets available to AI may not truly reflect the real-world, which would prevent its impact in all clinical scenarios when dealing with a spectrum of patients with different backgrounds and presenting factors. Considering this, the shift in medical diagnostics and therapeutics is coinciding with evolving technology. With a continuous advancement in artificial intelligence programming and a perpetual surge in patient datasets, these networks can be further enhanced and supplemented with a greater cohort, enabling better outcomes and prediction models for the future of modern medicine.

Industry 4.0 Transformation: Analysing the Impact of Artificial Intelligence on the Banking Sector through Bibliometric Trends

The importance of artificial intelligence in the banking industry is reflected in the speed at which financial institutions are adopting and implementing AI solutions to improve their services and adapt to new market demands. The aim of this research is to conduct a bibliometric analysis of the involvement of artificial intelligence in the banking sector to provide a comprehensive overview of the current state of research to guide future directions and support the sustainable development of this rapidly expanding field. Another important objective is to identify research gaps and underexplored areas in the field of artificial intelligence in banking. The methodology used is a bibliometric analysis using VOSviewer, analysing 1089 papers from the Web of Science database. The results of the study provide relevant information for banking professionals but also for policy makers. Thus, the study highlights key areas where banks are using artificial intelligence to gain competitive advantage, thereby guiding practitioners in strategic decision making. Moreover, by identifying emerging trends and patterns in AI adoption, the study helps banking practitioners with foresight, enabling them to anticipate and prepare for future developments in the field. In terms of governmental implications, the study can contribute to the development of more nuanced regulatory frameworks that effectively balance the promotion of AI innovation with the protection of ethical standards and consumer protection.

Knowledge, attitude, and practice of artificial intelligence among medical students in Sudan: A cross-sectional study

Introduction: In this cross-sectional study, we explored the knowledge, attitudes, and practices related to artificial intelligence (AI) among medical students in Sudan. With AI increasingly impacting healthcare, understanding its integration into medical education is crucial. This study aimed to assess the current state of AI awareness, perceptions, and practical experiences among medical students in Sudan. We aimed to evaluate the extent of AI familiarity among Sudanese medical students by examining their attitudes toward its application in medicine. Additionally, this study seeks to identify the factors influencing knowledge levels and explore the practical implementation of AI in the medical field. Method: A web-based survey was distributed to medical students in Sudan via social media platforms and email during October 2023. The survey included questions on demographic information, knowledge of AI, attitudes toward its applications, and practical experiences. The descriptive statistics, chi-square tests, logistic regression, and correlations were analysed using SPSS version 26.0. Results: Out of the 762 participants, the majority exhibited a basic understanding of AI, but detailed knowledge of its applications was limited. Positive attitudes toward the importance of AI in diagnosis, radiology, and pathology were prevalent. However, practical application of these methods was infrequent, with only a minority of the participants having hands-on experience. Factors influencing knowledge included the lack of a formal curriculum and gender disparities. Conclusion: This study highlights the need for comprehensive AI education in medical training programs in Sudan. While participants displayed positive attitudes, there was a notable gap in practical experience. Addressing these gaps through targeted educational interventions is crucial for preparing future healthcare professionals to navigate the evolving landscape of AI in medicine. Recommendations: Policy efforts should focus on integrating AI education into the medical curriculum to ensure readiness for the technological advancements shaping the future of healthcare.

The Adoption of Artificial Intelligence in Serbian Hospitality: A Potential Path to Sustainable Practice

This study investigates the perceptions of employees in the hotel industry of the Republic of Serbia regarding the acceptance and importance of artificial intelligence (AI). Through a modified UTAUT model and the application of structural equation analysis (SEM), we investigated the key factors shaping AI acceptance. Research results show that behavioral intention and habit show a significant positive impact on AI usage behavior, while facilitating conditions have a limited but measurable impact on behavioral intention. Other factors, including social influence, hedonic motivation, performance expectancy, and effort expectancy, have minimal influence on the examined variables. The analysis reveals the crucial mediating role of behavioral intention, effectively bridging the gap between various predictors and AI usage behavior, thereby highlighting its significance in the broader context of technology adoption in the hotel industry. The primary goal of the study, which closes significant research gaps, as well as the manner in which it uses a specific model and statistical analysis to accomplish this goal, shows how innovative the work is. This method not only broadens the field’s understanding but also offers valuable insights for shaping sustainable development practices in the hospitality sector in the Republic of Serbia.

Attitudes towards and expectations on the role of artificial intelligence in the classroom among digitally skilled Finnish K-12 mathematics teachers

The growing impact and importance of artificial intelligence in society has led to an increasing interest for the potential of artificial intelligence as an educational tool in schools to aid both students and teachers. In this study we investigate digitally skilled K-12 mathematics teachers’ (N=85) attitudes towards and expectations on the role of artificial intelligence in the classroom. The study was done by conducting and analyzing the results of a web-based survey among Swedish and Finnish speaking mathematics teachers using a mixed methods strategy. The Will, Skill and Tool framework was used for the analysis. The survey was done before the introduction of ChatGPT-3. The results indicate that the teachers’ attitudes toward AI tools in school are characterized by interest, openness, and awareness. Teachers have a balanced view on the possibilities and risks of AI use in school. However, the teachers also stress that there is a risk that AI tools will shift the focus from learning key mathematical skills towards learning and interaction with the AI tools themselves. The research concluded that the K-12 mathematics teachers surveyed have broad experience with digital tools and will likely become early adopters of AI tools in the classroom.

Role of Artificial Intelligence in Higher Education- An Empirical Investigation

The importance of artificial intelligence (AI) is growing in all economic sectors and thus also in higher education. In recent years, there have been significant developments in this concept of "Artificial Intelligence in Education (AIED)". The purpose of this study was to find out how the concept of artificial intelligence can be applied to teaching and learning in higher education and the implications of the use of artificial intelligence in higher education. The impact of the development of technologies on learning is often studied on the methods and scope of learning and teaching. Artificial intelligence enables higher education services to become easily accessible with extraordinary speed, not only in the classroom but also outside the classroom. This report seeks to explore how AI will become an integral part of universities and seeks to examine its immediate and future impact on various aspects of higher education. The challenges of implementing AI in these institutes were also explored. As artificial intelligence (AI) research in education increases, many researchers in the field believe that the role of teachers, schools and leaders in education will change. In this regard, the aim of this study is to investigate which are the possible scenarios for the arrival of artificial intelligence in education and what impact it can have on the future of schools. In this research, it confirmed that artificial intelligence has been widely adopted and used in various forms in education, especially educational institutions. Artificial intelligence was initially implemented in the form of computers and computer-related technologies, moving to web-based and web-based intelligent educational systems, and finally with the use of embedded computing systems and other technologies such as humanoid robots and web-based chatbots teachers & tasks and assignments independently or with tutors. With these platforms, teachers could perform various administrative tasks such as grading and Work more effectively and efficiently and achieve higher quality in your learning activities. On the other hand, because the systems use machine learning and adaptability, the curriculum and content are adapted which improved uptake and retention, which improved the student experience and the overall quality of education.

Artificial intelligence (AI) and its applications in agriculture: A Review

Providing food for the growing population is a challenging task, however, with historical agricultural practices, we can’t meet the food requirement of the world population. We are in the need to adopt modern technology to overcome adverse climatic and cultural challenges, which are faced by current generation, that is Artificial Intelligence (AI). AI is the booming technology in the agriculture, which uses different sensors and neural networks and uses resources minimally based on need and predict the coming obstacles, which causes huge loss to crop. This review explain is, various applications of AI in the sustainable agriculture for crop managemen by overcoming realtime challenges and importance of AI in agriculture by comparing with traditional methods.  

How does artificial intelligence affect the environmental performance of organizations? The role of green innovation and green culture

Despite the importance of artificial intelligence (AI) in improving environmental performance, the mechanisms and boundary conditions through AI use affects environmental performance remain unclear. Using a sample of Chinese agricultural firms, the empirical results verify the positive impact of AI use on environmental performance via green innovation of product and process. Moreover, our findings reveal that green culture positively moderates the impact of AI use on green product innovation, and it strengthens the positive mediation effect of green product innovation on the relationship between AI use and environmental performance. This study provides insights and enriches the existing understanding of AI-enable green innovation, thus making practical implications for firms to achieve sustainable development.

The Importance of Artificial Intelligence in Sales Management in the B2B Industry

The Importance of Artificial Intelligence in Sales Management in the B2B Industry

Importance of Artificial Intelligence and Its Role in Future Technology

Artificial Intelligence - Artificial intelligence (AI) refers to the simulation or approximation of human intelligence in machines. АI is a technology that has very long history which is асtively and соntineоusly growing and сhаnging .AI is a technology that simulate human intelligence, allowing computer applications to learn from experience via iterative processing and algorithmic training. The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal. It fосuses оn intelligent аgents, whiсh соntаins deviсes thаt рerсeives envirоnment аnd bаsed on whiсh takes асtiоns in order to mаximize gоаl suссess сhаnсes. In this рарer, we will exрlаin the mоdern АI bаsiсs аnd various reрresentаtive аррliсаtiоns оf АI. In соntext оf mоdern digitаlized wоrld, Аrtifiсiаl Intelligenсe (АI) is the рrорerty оf mасhines, соmрuter рrоgrаms аnd systems tо рerfоrm the intelleсtuаl аnd сreаtive funсtiоns оf а рersоn, indeрendently find wаys tо sоlve рrоblems, be аble tо drаw соnсlusiоns аnd mаke deсisiоns. The reсent reseаrсh оn АI tооls, inсluding mасhine leаrning, deeр leаrning аnd рrediсtive аnаlysis intended tоwаrd inсreаsing the рlаnning, leаrning, reаsоning, thinking аnd асtiоn tаking аbility. Bаsed оn whiсh, the рrороsed reseаrсh intended tоwаrds exрlоring оn hоw the humаn intelligenсe differs frоm the аrtifiсiаl intelligenсe. In аdditiоn, оn hоw аnd in whаt wаy, the сurrent аrtifiсiаl intelligenсe is сlever thаn the humаn beings. Mоreоver, we сritiсаlly аnаlyze whаt the stаte-оf-the аrt АI оf tоdаy is сараble оf dоing, why it still саnnоt reасh humаn level intelligenсe аnd whаt аre the орen сhаllenges. Furthermоre, it will exрlоre the future рrediсtiоns fоr аrtifiсiаl intelligenсe аnd bаsed оn whiсh роtentiаl sоlutiоn will be reсоmmended tо sоlve it within next deсаdes. АI is gоing tо аdd а new level оf effiсienсy аnd sорhistiсаtiоn tо future teсhnоlоgies.

The Importance of Artificial Intelligence in Modern Media Education Technologies in Institutions of Higher Education

This scientific work provides information about the importance of artificial intelligence in modern media education technologies in institutions of higher education. Artificial intelligence in media education in Uzbekistan offers unique opportunities for students and educators. Initially, artificial intelligence (AI) is employed for personalizing the educational process by adapting learning materials to the individual needs of each student. This contributes to more effective comprehension of the material and improved academic performance.

Importance of Artificial Intelligence as Evidence in Cases between Underage Victims of Rape and Offenders in Nigeria

Underage girls are gradually becoming the major victims of rape in some developing countries such as Nigeria in recent years. Many of such cases of rape were either underreported or unreported to relevant authorities. Some of these underage victims of rape have experienced trauma, stigmatization, and depression which have affected their well-being. While some of the victims of rape are battling to overcome the negative outcome of the act, other victims among them have lost their lives because there was no prompt help for them to survive it. The perpetrators of the crime who were responsible for the crime were not equally punished for their crime because of lack of verifiable evidence that associated them with the act and the victim of rape. However, to demand justice for the underage victims of rape, Artificial Intelligence (AI) serves as a vital technology that can be used to present evidence in the case of rape between the victim of rape and the offenders. The objective of this article is to examine the importance of AI in presenting an evidence-based method in cases of rape between the underage victims of rape and offenders in society. The paper adopted a descriptive theoretical approach in the study. The paper revealed that AI technology is important and can be used to establish evidence in cases of rape between underage girls and offenders through some AI application methods, such as surveillance devices, facial recognition, DNA match, video and photo analysis, and object retrieval analysis among others.

The Road to corporate sustainability: The importance of artificial intelligence

Artificial intelligence (AI) is playing an increasingly important role in the corporate strategic development, and this study explores the relationship between AI and corporate sustainable development for the first time. By analyzing data from Chinese listed companies from 2011 to 2020 and employing a series of robust methods, this study makes the following findings: First, AI promotes corporate sustainable development, with a greater impact on environmental governance and social responsibility. Second, this study focuses on the moderating effects of internal and external pressures. Confucian culture and public pressure hinder the positive effects of AI, while technological proficiency and data security awareness amplify this positive impact. Finally, this study explores the potential pathways of AI based on corporate resource allocation and stakeholders. AI achieves corporate sustainable development by alleviating financing constraints, reducing agency costs, improving supply chain performance, labor productivity, resource utilization efficiency, and reducing corporate risks. These findings have significant implications for the application of AI technology and corporate sustainable development in emerging countries, including China.

The Necessity of Education in Response to Technological Advancements and Future Environmental Changes: A Comparison of Korean Medicine Doctors and Students

Objectives: The medical field is rapidly evolving with AI and digital technologies like AI-based X-ray analysis and digital therapeutics gaining approval. Telemedicine is becoming prominent, and medical schools are adapting by integrating AI education. Pusan National University leads a talent training project for AI in health. Korean Medicine is incorporating AI with diagnostic systems and chatbots. However, there's a lack of research on education awareness in Korean Medicine Colleges. The study aims to assess opinions on integrating AI, digital therapeutics, and DNA test into the Korean medicine college curriculum for improved education.Methods: We selected appropriate four specific areas: artificial intelligence in medicine, digital therapeutics, DNA test, and telemedicine. The questionnaire developed for this study underwent expert evaluation and was subsequently administered to registered KMDs of the Association of Korean Medicine, as well as students from 12 Korean Medicine universities. The survey was designed to analyze the awareness and perceived importance of the 4 areas.Results: Both KMDs and Korean medicine students exhibited comparable awareness levels across the four objectives. Notably, both groups identified a high educational necessity and importance of artificial intelligence in medicine for clinical settings. Statistically significant differences were observed between KMDs and students in their perspectives on the importance of telemedicine and DNA test in the Korean medicine field, the educational necessity of DNA test within Korean medicine universities, and the need for comprehension of regulations related to digital therapeutics.Conclusion: The survey of Korean medicine professionals and students underscores a strong understanding of key areas such as Telemedicine, medical AI, DNA test, and digital therapeutics. Medical AI is identified as crucial for future education. There's a consensus on the need for curriculum changes in Korean medicine schools, particularly in adapting to evolving healthcare trends. The focus should be on practical clinical application, with a call for additional research to better integrate student and practitioner perspectives in future curriculum reform discussions.

Predicting Pancreatic Cancer using AIML Techniques

Abstract: The late diagnosis and low survival rates associated with pancreatic cancer make it a substantial global health challenge to detect at an early stage. The aim of this study is to explore the potential of deep learning methods in enhancing the early identification of pancreatic cancer. To build a convolutional neural network (CNN) model to detect early indications of pancreatic malignancies, we employed medical images from a computed tomography (CT) scan dataset. By illuminating the potential of deep learning as a tool, our discoveries bring hope for enhanced patient survival rates by aiding in the early diagnosis of pancreatic cancer. The importance of artificial intelligence in medical imaging and its revolutionary effects on cancer diagnosis are emphasized by this research. Pancreatic Tumor stands as a global leader in responsible death rates caused by cancer. Curing pancreatic cancer is possible when detected early

Artificial Intelligence and Business

The general objective of the research was to determine the advances related to the artificial intelligence and business. The specific objectives of the research are to identify the software of AI used in business and the countries that invest more in AI. Methodology, in this research, 62 documents have been selected, carried out in the period 2018 - 2023; including: scientific articles, review articles and information from websites of recognized organizations. Results, every day new AI tools appear that support activities in today's businesses. Conclusions, about the general objective of the research, the importance of AI in business is beginning to be understood. Therefore, it is adopted in various organizational processes worldwide. AI is impacting various human activities, so it is necessary to keep an eye on its evolution. During the pandemic, businesses worldwide had to intensively use information and communication technologies in order to reach their customers. Subsequently, AI is presented as a tool that can radically change business. About the specific objectives of the research, the software of AI used in business are: Salesforce, HubSpot, IBM Watson, ChatGPT, Alteryx Analytics Automation Platform, Amazon SageMaker, GPT-3 model, Adobe Sensei, Marketo, Supply-chain management solutions based on artificial intelligence (AI), Kasisto, Workday, HireVue, Tableau, Power BI, Dynamic Yield, Darktrace, Copy.ai, UiPath, Automation Anywhere, Merative, Google Health, Google Translate. The countries that invest the most in AI are the United States, China and the European Union.

The special features of using the artificial intelligence in the matters of cybersecurity

The role and importance of artificial intelligence in the field of cyber security is determined. The methods of using artificial intelligence in cyber security are detailed. The advantages and priorities of the use of artificial intelligence in the sphere of cyber security are defined. The shortcomings and problematic issues related to the use of artificial intelligence technologies by hackers in the field of cyber security are summarized. The innovative achievements of the practical implementation of generative artificial intelligence technologies ChatGPT (Generative Pre-trained Transformer) are highlighted. The legal principles of the regulation of artificial intelligence in the field of cyber security in Ukraine are outlined. Threatening trends in the use of artificial intelligence technologies have been identified based on the Europol report 2023. A review of the legislative initiatives of the EU aimed at regulating the field of artificial intelligence, in particular in the issue of cyber security, was conducted. The directions of improvement of the legal framework and regulatory requirements regarding the use of artificial intelligence technologies in the field of cyber security are summarized, especially in the conditions of the legal regime of martial law in Ukraine.

The Importance of Artificial Intelligence in Upper Gastrointestinal Endoscopy.

Recently, there has been a growing interest in the application of artificial intelligence (AI) in medicine, especially in specialties where visualization methods are applied. AI is defined as a computer's ability to achieve human cognitive performance, which is accomplished through enabling computer "learning". This can be conducted in two ways, as machine learning and deep learning. Deep learning is a complex learning system involving the application of artificial neural networks, whose algorithms imitate the human form of learning. Upper gastrointestinal endoscopy allows examination of the esophagus, stomach and duodenum. In addition to the quality of endoscopic equipment and patient preparation, the performance of upper endoscopy depends on the experience and knowledge of the endoscopist. The application of artificial intelligence in endoscopy refers to computer-aided detection and the more complex computer-aided diagnosis. The application of AI in upper endoscopy is aimed at improving the detection of premalignant and malignant lesions, with special attention on the early detection of dysplasia in Barrett's esophagus, the early detection of esophageal and stomach cancer and the detection of H. pylori infection. Artificial intelligence reduces the workload of endoscopists, is not influenced by human factors and increases the diagnostic accuracy and quality of endoscopic methods.

University students’ intentions to learn artificial intelligence: the roles of supportive environments and expectancy–value beliefs

Despite the importance of artificial intelligence (AI) for university students to thrive in the future workplace, few studies have been conducted to assess and foster their intentions to learn AI. Guided by the situated expectancy–value theory, this study adopted both variable- and person-centered approaches to explore the role of supportive environments and expectancy–value beliefs in fostering university students’ intentions to learn AI. The data were drawn from 494 university students. In Study 1, the variable-centered approach of structural equation modeling showed the critical role of supportive environments and expectancy–value beliefs in promoting students’ intentions to learn AI. In Study 2, the person-centered approach of latent profile analysis identified three subgroups of students based on their levels of supportive environments and expectancy–value beliefs. Consistent with Study 1, students who perceived more supportive environments and higher levels of expectancy–value beliefs had stronger intentions to learn AI. We also documented the influence of study of field, gender, and year level on students' perceptions of supportive environments, expectancy-value beliefs and intentions to learn AI. The implications of these findings in improving students’ intentions to learn AI are discussed.

Importance of Artificial Intelligence (AI) in the Economy

Importance of Artificial Intelligence (AI) in the Economy