Music Conducting Pedagogy and Technology: A Descriptive Review of Literature

Predictive modeling in reproductive medicine: Where will the future of artificial intelligence research take us?

The Medical Metaverse, Part 1: Introduction, Definitions, and New Horizons for Neuropsychiatry.

BackgroundEmerging technologies have demonstrated outstanding potential in improving healthcare, yet their full integration remains a challenge for all medical specialties, including pediatrics. To support the swift implementation of technologies, we identified the current trends through a bibliometric review, and we conducted a survey on Italian pediatricians to gauge educational needs and willingness to integrate technologies into clinical practice.MethodsA working group of pediatricians representing various backgrounds designed and coordinated the study. To identify relevant topics for educational strategy development, we focused on virtual reality, telehealth, natural language processing, smartphone applications, robotics, genomics, and artificial intelligence. A bibliometric analysis limited to 2018–2023 was performed to identify trends and emerging applications within each topic. Based on the results, a questionnaire was developed and made available online to all Italian pediatricians. The results were analyzed through descriptive analysis and a multivariable logistic regression to explore associations between technology adoption and sociodemographic characteristics.ResultsA total of 3,253 publications were found, with Telehealth and Telemedicine having the highest number of publications and Natural Language Processing the lowest. The number of respondents to the online questionnaire was 1,540, predominantly medical doctors with over 20 years of experience working as family pediatricians. Telehealth had the highest level of knowledge (95.2%), followed by smartphone applications (89.1%) and genomics (63.2%). The greatest potential for increased use through education programs was projected for natural language processing (+ 43.1%), artificial intelligence (+ 39.6%), and virtual and mixed reality (+ 38.1%). Female respondents and older individuals were less likely to use emerging technologies. Hospital pediatricians and residents were more likely to use AI.ConclusionsWe developed a replicable strategy to identify emerging themes in medical technologies relevant to pediatrics and assess the educational needs of pediatricians. A significant gap still exists between current and potential usage of emerging technologies among Italian pediatricians although they showed a positive attitude towards implementing these technologies following specific education programs. The study highlights the need for comprehensive education programs on emerging technologies in pediatrics and recommends addressing gender and age disparities in technology adoption.

Social support literature has been criticized for lacking methodological clarity. The purpose of this study was to conduct a systematic descriptive review of the social support literature, outline measurement problems, identify the nature of assessment inadequacies, and provide recommendations for the future. Two-hundred sixty-two empirically based articles published between 1980 and 1987 were reviewed comprehensively. Information about social support measurement and sample characteristics was obtained. A system was designed to organize the data on sample characteristics, type of instrument, source of support assessed, and category of support measured. The social support literature also was described from a methodological perspective, and several trends were identified. Conclusions about conceptual maturity, a priori biases, measurement of network utilization, and social support sources are discussed.

Introduction: the widespread use of cross-cutting digital technologies, as well as the recognition of their importance by the state, led in 2024 to the inclusion of the federal project Artificial Intelligence in the National Project for the Formation of the Data Economy for the period until 2030. Earlier, Russian legislation established the concept of cross-cutting technologies as cross-sectoral technological areas that ensure the creation of innovative products and services and have a significant impact on the development of the economy, radically changing existing markets and/or contributing to the formation of new markets. Among the most popular for application in various sectors of the economy today are such cross-cutting technologies as generative artificial intelligence, the Internet of Things (IoT), augmented and virtual reality. For example, artificial intelligence is increasingly being used to create content, control devices, and virtualize reality. In the context of existing practice, a discussion is developing on the need to balance the interests of the owners of artificial intelligence systems and other such technologies, the users of these systems, and third parties in the process of such interpretation and creation of multimodal data at the output. Purpose: basing on the analysis of Russian and foreign scientific concepts and using the example of generative artifi-cial intelligence, IoT, augmented and virtual reality, to form an idea of the directions of legal regulation of the appli-cation of advanced cross-sectoral technologies from the point of view of law. Methods: empirical methods of com-parison, description, interpretation; theoretical methods of formal and dialectical logic; special scientific methods: legal-dogmatic method and the method of interpretation of legal norms. Results: studying the problems that have arisen or may arise in law in connection with the use of cross-cutting technologies of cross-sectoral purposes (gener-ative artificial intelligence, IoT, virtual and augmented reality), the authors provide a general vision of the state and prospects of legal regulation of the relevant relations. The article considers possible legal approaches to granting protection to objects created with the help of artificial intelligence: copyright protection of a derivative work, legal protection of creative and non-creative photographic works, of original topologies of integrated circuits, of related rights for objects created with the help of artificial intelligence, legal regime of a non-creative database, phonogram, public domain, as well as sui generis legal regime within the framework of the institute of related rights for non-creative objects produced with the help of artificial intelligence. As the generation of content is often closely related to the work with data obtained and processed by means of the IoT technology, the authors put forward ideas regard-ing the harmonization of legislation in these areas. In addition, the use of augmented and virtual reality technologies also involves the creation of content in a certain sense. Conclusions: there is a need for the development of legal regulation addressing the issues of security, protection of personal data and other confidential information. It seems that there is being formed a special sphere of legal regulation related to the exercise of various types of human rights in information and telecommunication networks, when using the IoT as well as virtual and augmented reality tech-nologies. The approach that appears to be promising is defining the legal regime of objects created with the help of artificial intelligence as sui generis or, in the context of the Russian legal system, as rights related to non-creative objects. A positive consequence of the adoption of the regime of related rights for objects created with the help of AI technologies may be seen in that that such recognition will make it possible to protect objects that are currently not covered by any protection regime, which leads to abuse by various claimants to ownership of the rights.

Extended-Reality Technologies: An Overview of Emerging Applications in Medical Education and Clinical Care.

The use of Artificial Intelligence (AI) has emerged as a promising approach for the early detection of thyroid disorders. This study aimed to investigate the application of AI in the screening and diagnosis of these conditions. An exploratory and descriptive literature review with a qualitative approach was conducted. The PUBMED/MEDLINE and Embase databases were searched for articles published in the last five years. Original studies on AI applications in thyroid disease diagnosis were included, while opinion pieces and review articles were excluded. The search strategy incorporated terms such as “Artificial Intelligence,” “Machine Learning,” “Deep Learning,” “AI,” “Diagnosis,” and “Thyroid Diseases,” combined with Boolean operators “AND” and “OR,” yielding 14 eligible articles. AI demonstrated substantial potential to improve healthcare delivery. Machine learning models, particularly those based on deep learning, proved effective in classifying thyroid nodules and enhancing diagnostic accuracy. Studies reported that AI could outperform traditional methods in diagnostic precision, underscoring its utility in nodule screening and metastasis detection. Additionally, AI was effective in assessing Graves’ disease and identifying conditions such as hypokalemic paralysis, contributing to faster and more accurate diagnoses. In conclusion, the use of AI in diagnosing thyroid disorders represents a major advancement in endocrinology, with the potential to improve diagnostic precision and optimize clinical management. However, validation in larger and more diverse populations is required to consolidate its effectiveness and expand its clinical implementation.

Artificial intelligence (AI) and its rapid technological advancement will considerably affect the future of work and the way organizations manage their knowledge management (KM) processes.Typical KM initiatives include the development, transfer, storage, and evaluation of a firm's knowledge throughout the knowledge lifecycle, but often neglect ongoing advances in the AI area.Thus, organizations struggle to integrate AI into working environments to leverage outcome efficiency.Starting with a descriptive literature review, we draw on two KM strategies-personalization and codification-and introduce an adaptive, AI-specific approach for organizational KM implementation.Our approach supports KM strategy and research, as it outlines how AI affects current working processes.This enables to understand which role AI can take in the human-AI interaction.Knowledge managers are provided with a tool to align organizational KM with the business strategy and current technological progress in AI context.We also outline future research to validate the construct.

The article is devoted to the history of the development of Information and Communication Technologies (ICT) and Artificial Intelligence (AI), their current and probable future achievements, and the problems (which have already arisen, but will become even more acute in the future) associated with the development of these technologies and their active introduction in society. The close connection between the development of AI and cognitive science, the penetration of ICT and AI into various fields, in particular the field of health care, is shown. A significant part of the article is devoted to the analysis of the concept of ‘artificial intelligence’, including the definition of generative AI. We analyze recent achievements in the field of Artificial Intelligence, describe the basic models, in particular the Large Linguistic Models (LLM), and forecast the development of AI and the dangers that await us in the coming decades. We identify the forces behind the aspiration to create artificial intelligence, which is increasingly approaching the capabilities of the so-called general/universal AI, and also suggest desirable measures to limit and channel the development of artificial intelligence. The authors emphasize that the threats and dangers of the development of ICT and AI are particularly aggravated by the monopolization of their development by the state, intelligence services, large corporations and those often referred to as globalists. The article forecasts the development of computers, ICT and AI in the coming decades, and also shows the changes in society that will be associated with them. The study consists of two articles. The first, presented below, provides a brief historical overview and characterizes the current situation in the field of ICT and AI, it also analyzes the concepts of artificial intelligence, including generative AI, changes in the understanding of AI related to the emergence of the so-called large language models and related new types of AI programs (ChatGPT). The article discusses the serious problems and dangers associated with the rapid and uncontrolled development of artificial intelligence. The second article, to be published in the next issue of the journal, describes and comments on current assessments of breakthroughs in the field of AI, analyzes various forecasts, and the authors give their own assessments and forecasts of future developments. Particular attention is given to the problems and dangers associated with the rapid and uncontrolled development of AI, the fact that achievements in the field of AI are becoming a powerful means of controlling the population, imposing ideology and choice, influencing the results of elections, and a weapon for undermining security and geopolitical struggle.

The urgency of the research. In recent years, world's airports are actively implementing cloud technologies for collecting, processing and visualizing geospatial data: laser and lidar scanning, integration of BIM / GIS models, the use of artificial intelligence, virtual and augmented reality technologies, digital duplicates and «smart» cities. For Ukraine, which is actively following the path of digitalization and implementation of modern geographic information technologies in many areas of ac-tivity, the development of new methods and approaches for administrative and economic management of airport complexes is a relevant and promising area. Target settings.This study examines the possibilities of modern geographic information and cloud technologies and pro-spects for their use for administrative and economic management of an airport. The study is related to the implementation of the State Target Program for Airport Development until 2023 and the Aviation Transport Strategy of Ukraine until 2030, which aims to develop the aviation industry in Ukraine, bringing airport infrastructure to the requirements of the European Union. The Law of Ukraine «On the National Infrastructure of Geospatial Data» and «Consolidated Concept of VIM Implementation in Ukraine» has a great influence on the formation of geospatial data of airports.Actual scientific researches and issues analysis. The paper analyzes and summarizes publications on methods of obtain-ing geospatial data, implementation of geographic information technologies, virtual, augmented and mixed reality technolo-gies, artificial intelligence and the concept of «smart» city for administrative and economic management of airports.Uninvestigated parts of general matters defining. Analysis of recent research and publications has shown that the pro-spects for the introduction of geographic information technology for administrative and economic asset management of Ukrain-ian airports need further research, as these issues are very important and relevant, given the rapid growth of digital society, environment and infrastructure.The research objective. The purpose of this study is to analyze the possibilities and prospects for the introduction of modern technologies for processing and visualization of geospatial data for administrative and economic management of the airport and the development of a conceptual model. The task of the research is to analyze the methods of obtaining geospatial data of the airport, the use of geographic information systems in airports, artificial intelligence technologies, virtual, aug-mented and mixed reality, the Internet of Things, digital duplicates, implementation of the concept of «smart» city, etc.The statement of basic materials. Geospatial data is created digitally using modern information and cloud technologies that offer a wide range of equipment, software, methods and technologies for working with geospatial information. Every year, new technologies that are used in the administrative and economic management of airports appear: cloud data acquisition methods, geographic information systems, artificial intelligence technologies, virtual reality, the Internet of Things, digital counterparts, «smart» cities, and more. Successful integration and use of existing capabilities for the collection, storage, pro-cessing and visualization of geospatial data of airports will ensure their effective management and economic growth.Conclusions. Based on the analysis of the possibilities of using virtual, augmented and mixed reality technologies, artifi-cial intelligence, digital duplicates and the concept of «smart» cities in airports,a conceptual model of prospects for using geospatial data of the airport to address administrative and economic management of the property complex was developed.

Artificial intelligence and sexual health in the USA

Masters or Slaves? AI and the Future of Humanity

The Role of integrating AI and VR in fostering environmental awareness and enhancing activism among college students

The recent advancements in digital technologies have led to exponential progress in dentistry. This narrative review aims to summarize the applications of Augmented Reality, Virtual Reality and Mixed Reality in dentistry and describes future challenges in digitalization, such as Artificial Intelligence and Robotics. Augmented Reality, Virtual Reality and Mixed Reality represent effective tools in the educational technology, as they can enhance students’ learning and clinical training. Augmented Reality and Virtual Reality and can also be useful aids during clinical practice. Augmented Reality can be used to add digital data to real life clinical data. Clinicians can apply Virtual Reality for a digital wax-up that provides a pre-visualization of the final post treatment result. In addition, both these technologies may also be employed to eradicate dental phobia in patients and further enhance patient’s education. Similarly, they can be used to enhance communication between the dentist, patient, and technician. Artificial Intelligence and Robotics can also improve clinical practice. Artificial Intelligence is currently developed to improve dental diagnosis and provide more precise prognoses of dental diseases, whereas Robotics may be used to assist in daily practice.

The purpose of this chapter is to investigate the revolutionary effects that artificial intelligence (AI), virtual reality (VR), and augmented reality (AR) have had on the educational environment, specifically with regard to the revolutionization of lifelong learning. It investigates the ways in which the incorporation of cutting-edge technology is changing conventional instructional approaches, therefore providing students with individualized and immersive educational experiences. The conversation focuses on the inclusive and dynamic character of education that is made possible by artificial intelligence, virtual reality, and augmented reality, while also addressing problems such as the limitations of technology and ethical implications. It is emphasized that in order to fully realize the potential of modern technologies in the field of education, it is necessary for educators, legislators, and technologists to work together. This abstract offers a succinct overview of the ways in which artificial intelligence, virtual reality, and augmented reality are profoundly changing paradigms of lifelong learning.