Various Applications Of Artificial Intelligence Research Articles

Advancing Healthcare Through Artificial Intelligence: Opportunities, Challenges and Future Directions

In recent years, the integration of artificial intelligence (AI) in healthcare has led to numerous groundbreaking applications that have transformed various aspects of medical practice. One of the primary areas where AI has made substantial contributions is in medical imaging analysis. By leveraging machine learning algorithms, AI systems can assist radiologists in interpreting medical images with greater accuracy and efficiency. AI-driven tools can detect subtle abnormalities, aid in early disease detection, and facilitate more precise diagnosis and treatment planning. Predictive analytics is another key application of AI in healthcare, wherein algorithms analyze vast amounts of patient data to forecast potential health outcomes and identify individuals at high risk of developing certain conditions. Additionally, the rise of virtual health assistants powered by AI has revolutionized patient care delivery by providing personalized and accessible healthcare services. These virtual assistants, often in the form of chatbots or voice-enabled interfaces, can interact with patients, answer medical queries, schedule appointments, and even provide medication reminders. Overall, the various applications of AI in healthcare, including medical imaging analysis, predictive analytics, personalized medicine, and virtual health assistants, have demonstrated significant potential in improving diagnostic accuracy, optimizing treatment plans, and enhancing patient care delivery. As these technologies continue to evolve and mature, they have the potential to revolutionize healthcare delivery and contribute to better health outcomes for individuals worldwide. This research paper contributes to the ongoing discourse surrounding the integration of AI in healthcare by providing a comprehensive overview of its advancements, challenges, and ethical considerations.

A SURVEY OF AI ON FINANCIAL FRAUD DETECTION

In the banking industry, artificial intelligence (AI) tools for fraud detection and prevention are becoming more and more common. This paper provides a comprehensive examination of the impact of artificial intelligence (AI) on financial fraud detection. It makes clear the limitations of traditional methods for detecting financial fraud and highlights how difficult it is to handle the growing complexity of fraudulent activities. The various applications of artificial intelligence (AI) methods, such as machine learning, deep learning, natural language processing, and anomaly detection, to enhance fraud detection abilities are then covered. KEYWORDS: Financial fraud detection, Fraud prevention, Data Privacy, Artificial Intelligence

Artificial Intelligence in Education: Understanding Benefits, Limitations, and Prospects for the Future

The paper provides a comprehensive analysis of the use of artificial intelligence (AI) in education, focusing on its definition, advantages, disadvantages, and future prospects. It explores various applications of AI in education, such as chatbots, learning analytics, and intelligent tutoring systems. The study addresses key issues like data-driven decision-making, efficient administration, personalized learning opportunities, and potential ethical concerns. Furthermore, it discusses the future prospects of AI in education, including advancements in virtual reality integration, adaptive learning systems, and universal access to high-quality education.

AI-Powered Marketing: Transformative Techniques for Advertising Success

This research paper explores the integration of Artificial Intelligence (AI) in marketing and advertising, examining its transformative impact on the industry. The paper explores the various applications of AI in marketing strategies, its potential benefits, and the evolving landscape of consumer engagement. Through an in-depth analysis of case studies and industry trends, we aim to provide insights into how AI technologies are reshaping the way businesses promote their products and services.

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.

Smart Cities: AI and IoT Integration for Urban Sustainability

The rapid growth of cities is putting immense pressure on resources and infrastructure. In response, the concept of smart cities has emerged, aiming to leverage technology to improve the efficiency and sustainability of urban environments. Artificial intelligence (AI) and the Internet of Things (IoT) are two key technologies playing a critical role in the development of smart cities. This paper explores the integration of AI and IoT for urban sustainability. It discusses the various applications of AI and IoT in different aspects of urban life, such as transportation, energy, waste management, and public safety. The paper also highlights the challenges and opportunities associated with integrating AI and IoT in smart cities.

REVIEW OF AI IN EDUCATION: TRANSFORMING LEARNING ENVIRONMENTS IN AFRICA

This study analyses artificial intelligence (AI's) impact on education in Africa, focusing on personalized learning, technology integration, and challenges in educational development. This review explores the transformative role of Artificial Intelligence (AI) in reshaping educational landscapes across Africa. As the continent strives for inclusive and quality education, AI emerges as a potent tool with the potential to address educational challenges, enhance learning outcomes, and bridge existing gaps. The review delves into various applications of AI in education, ranging from personalized learning experiences to adaptive assessment methodologies, and examines their impact on diverse learning environments. It gives an overview of the current state of education in Africa, the review highlights the disparities in access, quality, and infrastructure. It also investigates the innovative ways in which AI technologies are being integrated into educational systems. AI-powered adaptive learning platforms, virtual tutors, and intelligent content delivery systems are analyzed for their effectiveness in catering to the diverse needs of students across the continent. The review also addresses the potential of AI in overcoming language barriers, promoting literacy, and fostering digital skills development. Moreover, it explores the role of AI in facilitating teacher support, professional development, and administrative tasks, thereby contributing to the overall improvement of the education ecosystem. Ethical considerations, privacy concerns, and the digital divide are critically examined to ensure that the integration of AI in education aligns with ethical standards and promotes equitable access. Case studies and pilot projects from various African countries are presented to illustrate successful implementations, challenges faced, and lessons learned. Furthermore, the review discusses the importance of collaborative efforts involving governments, educational institutions, technology developers, and the private sector. Policy recommendations and strategic initiatives are explored to guide the responsible and sustainable integration of AI in education across the diverse socio-economic and cultural contexts prevalent in Africa. In conclusion, the review synthesizes the current state of AI in education in Africa, offering insights into its potential to revolutionize learning environments. The transformative power of AI in addressing educational challenges and fostering a culture of continuous improvement is underscored, paving the way for a more inclusive, accessible, and innovative education landscape in the African context.
 Keywords: Artificial Intelligence, Education, Transform Learning, Environments, Africa.

Artificial Intelligence in Dentistry

Artificial intelligence (AI) is a technological breakthrough that is rapidly progressing all over the world. AI has a variety of uses in medicine and dentistry, ranging from data analysis to using neural networks for diagnosis. AI has received enormous attention and has gone through a transition stage from being a pure statistical tool to being one of the main drivers of modern medicine. We are at the dawn of a new era, and AI is undoubtedly the future of dental practice management. This aim article is to review the various applications of AI in all the specialties of dentistry.

An Evaluation of the Use of Artificial Intelligence Applications in Online Education

Achieving targeted learning outcomes in online education and creating an effective learning environment require an interactive learning environment with a sense of learning community, personalized learning opportunities, a well-designed instructional content with effective use of visuals, sounds and teaching assistants, and instructors who can create and present them all effectively. AI applications can be utilized for a wide range of purposes in addressing the indicators of effective online education and developing strategies to achieve them. This research aims to explore various applications of AI in online education and its impact on teaching and learning processes. In line with this purpose, the study used qualitative case study method to explore the potential of AI applications in improving the quality of online education and the extent to which such applications can be utilized in online education. Following the research, examples of artificial intelligence (AI) applications that can be used in online education for the purposes of providing personalized learning experiences, creating learning content, emphasizing the use of visual and audio content in teaching, providing learning assistance, improving student engagement through the use of teaching assistants and chatbots, strengthening the interaction between the instructor and students, and evaluation were presented and suggestions were made for the contexts in which these applications can be used. The potential and limitations of AI applications in the development of online education were emphasized. On the other hand, it was recommended that the ethical implications of using AI applications in online education should be considered through further research and critical evaluation.

Artificial Intelligence on Retail Marketing

Abstract- The modern retail sector is characterised by high consumer expectations and a new covenant of data-driven retail experiences. But it is not simple for merchants to create a personalised shopping experience at a scale that is meaningful and relevant. Retailers who can develop their retail channels will distinguish themselves as industry leaders when physical and digital purchase channels merge. Artificial intelligence (AI) has been increasingly used in various industries, including retail marketing. With the advent of technology and the growing popularity of e-commerce, retailers have been leveraging AI to improve their marketing efforts and provide a personalized shopping experience for their customers. This paper explores the various applications of AI in retail marketing, including customer segmentation, recommendation systems, and chatbots. We also discuss the benefits and challenges of using AI in retail marketing and the ethical considerations that need to be addressed. Keywords: Artificial Intelligence, Retail Industry, Customer Segmentation, Ethical Considerations

How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications.

The integration of artificial intelligence (AI) into medical imaging has guided in an era of transformation in healthcare. This literature review explores the latest innovations and applications of AI in the field, highlighting its profound impact on medical diagnosis and patient care. The innovation segment explores cutting-edge developments in AI, such as deep learning algorithms, convolutional neural networks, and generative adversarial networks, which have significantly improved the accuracy and efficiency of medical image analysis. These innovations have enabled rapid and accurate detection of abnormalities, from identifying tumors during radiological examinations to detecting early signs of eye disease in retinal images. The article also highlights various applications of AI in medical imaging, including radiology, pathology, cardiology, and more. AI-based diagnostic tools not only speed up the interpretation of complex images but also improve early detection of disease, ultimately delivering better outcomes for patients. Additionally, AI-based image processing facilitates personalized treatment plans, thereby optimizing healthcare delivery. This literature review highlights the paradigm shift that AI has brought to medical imaging, highlighting its role in revolutionizing diagnosis and patient care. By combining cutting-edge AI techniques and their practical applications, it is clear that AI will continue shaping the future of healthcare in profound and positive ways.

Application of Artificial Intelligence in Clinical Dentistry, a Comprehensive Review of Literature.

In recent years, the use of artificial intelligence (AI) has become increasingly popular in dentistry because it facilitates the process of diagnosis and clinical decision-making. However, AI holds multiple prominent drawbacks, which restrict its wide application today. It is necessary for dentists to be aware of AI's pros and cons before its implementation. Therefore, the present study was conducted to comprehensively review various applications of AI in all dental branches along with its advantages and disadvantages. For this review article, a complete query was carried out on PubMed and Google Scholar databases and the studies published during 2010-2022 were collected using the keywords "Artificial Intelligence", "Dentistry," "Machine learning," "Deep learning," and "Diagnostic System." Ultimately, 116 relevant articles focused on artificial intelligence in dentistry were selected and evaluated. In new research AI applications in detecting dental abnormalities and oral malignancies based on radiographic view and histopathological features, designing dental implants and crowns, determining tooth preparation finishing line, analyzing growth patterns, estimating biological age, predicting the viability of dental pulp stem cells, analyzing the gene expression of periapical lesions, forensic dentistry, and predicting the success rate of treatments, have been mentioned. Despite AI's benefits in clinical dentistry, three controversial challenges including ease of use, financial return on investment, and evidence of performance exist and need to be managed. As evidenced by the obtained results, the most crucial progression of AI is in oral malignancies' diagnostic systems. However, AI's newest advancements in various branches of dentistry require further scientific work before being applied to clinical practice. Moreover, the immense use of AI in clinical dentistry is only achievable when its challenges are appropriately managed.

Criteria for implementing artificial intelligence systems in reproductive medicine.

This review article discusses the integration of artificial intelligence (AI) in assisted reproductive technology and provides key concepts to consider when introducing AI systems into reproductive medicine practices. The article highlights the various applications of AI in reproductive medicine and discusses whether to use commercial or in-house AI systems. This review also provides criteria for implementing new AI systems in the laboratory and discusses the factors that should be considered when introducing AI in the laboratory, including the user interface, scalability, training, support, follow-up, cost, ethics, and data quality. The article emphasises the importance of ethical considerations, data quality, and continuous algorithm updates to ensure the accuracy and safety of AI systems.

Artificial Intelligence in Pediatric Dentistry - A Review

Artificial Intelligence (AI), a term introduced by John McCarthy in 1955, pertains to the capacity of machines to acquire knowledge and apply it to perform a range of cognitive tasks, such as language processing, reasoning, learning, and decision-making, essentially emulating human behavior. Machine Learning (ML), a term coined by Arthur Samuel in 1959, is a subset of AI that equips systems with the ability to autonomously learn and improve from experience without explicit programming. ML is instrumental in developing computer programs that can access data and autonomously learn from it. The incorporation of AI components into imaging machines can alleviate the workload and enhance efficiency. Pediatric dentistry benefits from various applications of artificial intelligence, and this paper provides an overview of these applications.

Customised Holiday Experiences through Artificial Intelligence: Case Studies from the Aviation and Hospitality Sectors

This article explores the impact of artificial intelligence (AI) on the aviation and hospitality industries, both of which are rapidly evolving due to technological advancements. It aims to understand the increasing importance of artificial intelligence by examining the various ways in which it is used in these sectors through qualitative research. The research included an analysis of online sources such as airport and hotel websites, booking platforms, and social media accounts of travel-related businesses. This comprehensive data collection provides insight into the various applications of artificial intelligence in tourism. Thematic analysis was then used to categorise the data according to similar uses, providing a detailed understanding of the role of AI in these areas. It compares and examines artificial intelligence applications adopted by aviation and hospitality organisations, evaluating their effectiveness and differences. The study reveals the various ways in which AI is being integrated into these industries and highlights its significant contributions across various dimensions. It also highlights how AI can deliver competitive advantage, improve customer experiences, and introduce innovative paradigms to the aviation and hospitality industries. One important aspect of the research is its ability to provide a deeper understanding of emerging AI trends in these sectors and lay a strong foundation for future research. Ultimately, this study provides valuable insight to stakeholders in aviation and hospitality, equipping them with an informed perspective on leveraging AI for growth and long-term sustainability in their respective industries

AI in Auditing: A Comprehensive Review of Applications, Benefits and Challenges

The rapid evolution of artificial intelligence (AI) technologies has brought about transformative changes in various industries, and the field of auditing is no exception. This research paper presents a comprehensive review of the integration of AI in auditing practices, highlighting its applications, benefits, and associated challenges. Auditing, a critical process for ensuring the accuracy and reliability of financial information, has traditionally been a labor-intensive and time-consuming endeavor. The emergence of AI technologies, such as machine learning, natural language processing, and data analytics, has revolutionized the way audits are conducted. AI-powered auditing tools offer advanced capabilities for data analysis, pattern recognition, anomaly detection, and risk assessment. These capabilities enhance the effectiveness and efficiency of audits by allowing auditors to focus on high-risk areas and perform more in-depth analysis. The paper explores various applications of AI in auditing, including: Automated Data Analysis, Predictive Analytics, Fraud Detection, and Natural Language Processing (NLP), Continuous Monitoring. While AI brings significant benefits to the auditing process, its adoption also presents certain challenges like Data Quality and Integration, Interpretability, Ethical Considerations, Technical Expertise, Regulatory Frame Work. In conclusion, AI has the potential to revolutionize auditing practices by enhancing efficiency, accuracy, and risk assessment. However, successful integration requires addressing challenges related to data quality, transparency, ethics, skills, and regulations. As AI technologies continue to evolve, auditors and stakeholders must collaborate to harness the full potential of AI while maintaining the integrity and credibility of the auditing process. This paper serves as a comprehensive resource for auditors, researchers, and policymakers seeking to understand the current landscape and future directions of AI in auditing.

Artificial Intelligence in Medicine

Artificial Intelligence (AI) has been utilised in many settings, including in the film industry where it is already changing several aspects of how storylines are conceived (1). Similarly, medical advancements are now seeing a major shift in how AI might influence patient treatments, sometimes controversially so. We explore the transformative role of AI in the field of medicine, highlighting its potential to improve diagnostic accuracy, treatment efficacy, and patient outcomes. We highlight various applications of AI in medical imaging, diagnosis, drug discovery, personalised medicine, decision support systems, prevention, and patient engagement. Furthermore, we discuss the ethical and legal considerations and challenges associated with AI integration in healthcare. Drawing on relevant research and case studies, this paper provides insights into the future implications of AI in medicine.

Big Data and Artificial Intelligence in Drug Discovery for Gastric Cancer: Current Applications and Future Perspectives.

Gastric cancer (GC) represents a significant global health burden, ranking as the fifth most common malignancy and the fourth leading cause of cancer-related death worldwide. Despite recent advancements in GC treatment, the five-year survival rate for advanced-stage GC patients remains low. Consequently, there is an urgent need to identify novel drug targets and develop effective therapies. However, traditional drug discovery approaches are associated with high costs, time-consuming processes, and a high failure rate, posing challenges in meeting this critical need. In recent years, there has been a rapid increase in the utilization of artificial intelligence (AI) algorithms and big data in drug discovery, particularly in cancer research. AI has the potential to improve the drug discovery process by analyzing vast and complex datasets from multiple sources, enabling the prediction of compound efficacy and toxicity, as well as the optimization of drug candidates. This review provides an overview of the latest AI algorithms and big data employed in drug discovery for GC. Additionally, we examine the various applications of AI in this field, with a specific focus on therapeutic discovery. Moreover, we discuss the challenges, limitations, and prospects of emerging AI methods, which hold significant promise for advancing GC research in the future.

Artificial intelligence in judicial proceedings and court decisions, potential and risks

This article traces the role of artificial intelligence (AI) in the judiciary and its impact on judicial decision- making processes. It explores the potential of AI in the field of justice, and also reveals the potential risks associated with its use.
 The article examines various applications of AI in the judicial system, including automated processing of legal information, analysis of large volumes of data, prediction of court decisions and the use of assistant robots to support judges in decision-making. The use of AI can speed up judicial processes, improve access to justice and reduce the influence of the human factor on judicial decisions.
 However, the article also draws attention to the potential risks of using AI in the judiciary. These risks include the possibility of algorithmic unfairness, lack of transparency of algorithms, breaches of data confidentiality and privacy, and liability issues for errors that may be made by AI. The authors of the article recommend considering these risks when implementing AI in the judiciary and developing ethical standards and legal frameworks for its use.
 The general goal of the article is a balanced coverage of the potential and risks of AI in the judiciary, which helps readers get an objective picture of innovations in the field of the judicial system and their impact on the process of judicial decision-making.
 The article also explores the use of artificial intelligence (AI) in the judiciary and its impact on judicial decisions in global practice. It review current trends, problems and prospects related to the use of AI in the legal system. It also analyzez the legal, ethical and social aspects of the involvement of AI in court procedures. In addition, the article offers conclusions and recommendations for the further development of this technology in legal practice.

Unlocking Sales Potential: How AI Revolutionizes Marketing Strategies

In the ever-evolving landscape of marketing, the integration of artificial intelligence (AI) has emerged as a transformative force, revolutionizing traditional strategies and unlocking untapped sales potential for businesses. This paper explores the multifaceted impact of AI on marketing strategies, elucidating its role in enhancing customer engagement, optimizing targeting efforts, and enabling data-driven decision-making. Through the analysis of case studies and industry insights, it delineates the various applications of AI, including predictive analytics, personalized recommendations, and chatbots, in reshaping the marketing paradigm. Moreover, it examines the challenges and ethical considerations associated with AI adoption, underscoring the importance of transparency and responsible usage. By embracing AI-powered methodologies, businesses can effectively navigate the complexities of the modern market landscape, driving innovation, and maximizing sales growth.