Impact of artificial intelligence on novice endoscopists' colonoscopy training.

Simulation-Based Mastery Learning With Virtual Coaching: Experience in Training Standardized Upper Endoscopy to Novice Endoscopists

The article examines the theoretical and practical aspects of globalization and the impact of artificial intelligence on the economy and business. Researching the impact of globalization, technology, and artificial intelligence on the economy is a hot topic that is attracting significant interest among countries and companies. This research makes it possible to understand the current trends in the development of the world economy, predict its future changes and develop strategies that will help companies and countries use new opportunities and reduce possible risks. Today, artificial intelligence has a great impact on various fields of activity, in particular on business and the economy, which has global consequences, therefore, conducting research in this field is of great importance. The modern world is covered by the process of globalization, dynamic changes in technology and the development of the Internet, it needs a tool for the development of business and economy, for this it is possible to use artificial intelligence. The implementation of artificial intelligence opens up new opportunities for companies, such as automation, data analytics, personalization of services, development of innovative products and improvement of management. However, at the same time, it brings new challenges. Researching the impact of globalization, technology, and artificial intelligence on the economy is an important tool for developing strategies and solving problems affecting the economy and society as a whole.

Introduction The rapid development of artificial intelligence (AI) technology has become a key driver in achieving the Sustainable Development Goals (SDGs). However, systematic quantitative researches about the impact and pathway of artificial intelligence on the achievement of SDGs are still relatively limited. Methods Based on the penal data of 30 provinces (autonomous regions and municipalities) in China from 2010 to 2023, this study uses the entropy method to calculate evaluation index of SDG indicators, and systematically examines the impact and pathway of artificial intelligence (measured by the installation density of industrial robots) on achieving SDGs through the two-way fixed effect model, the mediation effect model, and spatial error model. Results The study finds that artificial intelligence has markedly promoted the achievement of China’s overall SDGs and it has a continuously increasing cumulative effect. This driving effect varies across different SDGs, and is most significant in economic growth (SDG8 and SDG9) and climate action (SDG13). The effect of artificial intelligence on achieving SDGs is more pronounced in eastern regions, regions with better SDGs performance, and regions with a late start in artificial intelligence development. Technological innovation and human capital optimization are important ways through which artificial intelligence affects the achievement of SDGs and can further enhance its positive role. Spatial analysis reveals significant positive spatial agglomeration in both AI and SDGs, along with potential spatial dependence across regions driven by unobserved factors. Discussion This study provides useful decision-making references for formulating differentiated and inclusive artificial intelligence policies, and promoting the achievement of SDGs.

Behavioral Finance – Impact of Artificial Intelligence and Social Media Analytics & Impact of Swarms and Human Crowds on the Stock Market

Artificial Intelligence (AI) has become a transformative force in education, significantly influencing students. This research explores AI's impact on learning experiences, academic performance, career guidance, motivation, self-reliance, social interaction, and AI dependency. Utilizing a descriptive-comparative design, 194 student respondents were chosen through stratified sampling. The results show that students generally perceive AI positively. Students agree that AI enhances personalized learning, engagement, and critical thinking, although practical hands-on learning experiences received less favorable feedback. Academically, students concur that AI helps them identify weaknesses, improve assignments, and track progress, despite some reservations about its efficacy in exam preparation. For career guidance, students agree that AI effectively matches skills with career options, recommends internships, and provides resources, though it is less effective for long-term planning. Students also believe AI boosts motivation through gamified learning and progress tracking and fosters self-reliance via self-directed learning and critical thinking support. Socially, students agree that AI facilitates collaboration, peer learning, and networking. Additionally, students demonstrate a reliance on AI for their learning processes. Notably, female students report a more significant impact on social interactions than male students. The type of device used (laptop vs. cellphone) significantly affects the learning experience, with laptop users reporting a more substantial impact. Differences in AI's impact are noted among various courses, particularly benefiting education students more than those in hospitality management and agriculture. However, age and family income do not significantly influence AI's overall impact. Keywords: Artificial Intelligence, descriptive-comparative, impact on learning, higher education

AI technologies increasingly influence dental education, but their instructional value, stakeholder perspectives, and institutional implications require further study. To synthesise evidence on AI's impact in undergraduate dental education, focusing on learning outcomes, stakeholder perspectives, and curriculum design. Following PRISMA 2020 guidelines, researchers searched PubMed, Scopus, Web of Science, IEEE Xplore, and Google Scholar for articles published between January 2015 and February 2025. Eligibility followed an adapted PECO framework: undergraduate dental students or faculty (Population); AI use in teaching, clinical training, or administration (Exposure); conventional or non-AI digital methods (Comparator); and outcomes including knowledge retention, skills, critical thinking, stakeholder perspectives, and curriculum effectiveness (Outcome). The initial pool of 402 references underwent systematic screening, quality appraisal, and AI-focused refinement across four stages, resulting in a final dataset of 107 studies meeting a minimum quality threshold (≥ 3) using validated appraisal tools. AI-powered educational resources, including adaptive learning platforms, intelligent tutoring systems, and generative AI tools, improved knowledge retention, technical skills, and clinical decision-making. Students benefited from personalised feedback, adaptive instruction, and increased engagement. Faculty expressed cautious optimism, tempered by gaps in training, technical readiness, and ethical guidance. Adoption patterns were shaped by generational, cultural, and infrastructural factors. AI enhances cognitive, technical, and clinical learning while complementing traditional instruction. Successful integration requires structured faculty development, clear ethical frameworks, institutional support, and close collaboration among educators, researchers, and technologists to ensure AI supports, rather than replaces, core clinical training and professional decision-making. Coordinated strategies addressing pedagogy, technical competence, and ethics will maximise AI's educational impact and support sustainable curriculum transformation in dental education.

Despite recent significant strides toward acceptance, inclusion, and equality, members of the lesbian, gay, bisexual, transgender, and queer (LGBTQ) community still face alarming mental health disparities, being almost 3 times more likely to experience depression, anxiety, and suicidal thoughts than their heterosexual counterparts. These unique psychological challenges are due to discrimination, stigmatization, and identity-related struggles and can potentially benefit from generative conversational artificial intelligence (AI). As the latest advancement in AI, conversational agents and chatbots can imitate human conversation and support mental health, fostering diversity and inclusivity, combating stigma, and countering discrimination. In contrast, if not properly designed, they can perpetuate exclusion and inequities. This study aims to examine the impact of generative conversational AI on the LGBTQ community. This study was designed as a scoping review. Four electronic scholarly databases (Scopus, Embase, Web of Science, and MEDLINE via PubMed) and gray literature (Google Scholar) were consulted from inception without any language restrictions. Original studies focusing on the LGBTQ community or counselors working with this community exposed to chatbots and AI-enhanced internet-based platforms and exploring the feasibility, acceptance, or effectiveness of AI-enhanced tools were deemed eligible. The findings were reported in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). Seven applications (HIVST-Chatbot, TelePrEP Navigator, Amanda Selfie, Crisis Contact Simulator, REALbot, Tough Talks, and Queer AI) were included and reviewed. The chatbots and internet-based assistants identified served various purposes: (1) to identify LGBTQ individuals at risk of suicide or contracting HIV or other sexually transmitted infections, (2) to provide resources to LGBTQ youth from underserved areas, (3) facilitate HIV status disclosure to sex partners, and (4) develop training role-play personas encompassing the diverse experiences and intersecting identities of LGBTQ youth to educate counselors. The use of generative conversational AI for the LGBTQ community is still in its early stages. Initial studies have found that deploying chatbots is feasible and well received, with high ratings for usability and user satisfaction. However, there is room for improvement in terms of the content provided and making conversations more engaging and interactive. Many of these studies used small sample sizes and short-term interventions measuring limited outcomes. Generative conversational AI holds promise, but further development and formal evaluation are needed, including studies with larger samples, longer interventions, and randomized trials to compare different content, delivery methods, and dissemination platforms. In addition, a focus on engagement with behavioral objectives is essential to advance this field. The findings have broad practical implications, highlighting that AI's impact spans various aspects of people's lives. Assessing AI's impact on diverse communities and adopting diversity-aware and intersectional approaches can help shape AI's positive impact on society as a whole.

Advances in generative artificial intelligence (AI) have given rise to relational AI-AI agents that mimic human relational capabilities while possessing unique nonhuman features, including constant availability, extensive malleability, and a lack of intrinsic psychological needs. This article uses self-determination theory to examine how relational AI may support or undermine the three basic psychological needs self-determination theory posits as essential for well-being: relatedness, competence, and autonomy. Across roles including that of tutor, copilot, social mediator, companion, and therapist, relational AI may address critical challenges to these needs, facilitating goal attainment, alleviating loneliness, and promoting mental health. However, relational AI also carries potential risks for well-being, including reduced self-direction, diminished efficacy, and altered expectations within human relationships. We propose that relational AI's ultimate impact on users' well-being will depend on moderating factors that may shape both the strength and direction of its effects on well-being, including users' motivational orientation toward the goal for which they use relational AI, their motivational orientation for using relational AI, their baseline psychological need satisfaction, dynamics particular to each relational AI role, and various situational factors. Crucially, it is likely impossible to fully understand relational AI's impacts on well-being without examining all three psychological needs, as focusing on only a single need risks overlooking dynamics in which impacts on multiple needs interact to amplify or neutralize well-being. Future research on these processes can deepen our understanding of human relationship dynamics, inform responsible AI development, and reveal novel theoretical mechanisms underlying relational AI's impacts on well-being. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Non-technical skills (NTS), involving cognitive, social and interpersonal skills that complement technical skills, are important for the completion of safe and efficient procedures. We investigated the impact of a simulation-based curriculum with dedicated NTS training on novice endoscopists' performance of clinical colonoscopies. A single-blinded randomized controlled trial was conducted at a single center. Novice endoscopists were randomized to a control curriculum or a NTS curriculum. The control curriculum involved a didactic session, virtual reality (VR) simulator colonoscopy training, and integrated scenario practice using a VR simulator, a standardized patient, and endoscopy nurse. Feedback and training were provided by experienced endoscopists. The NTS curriculum group received similar training that included a small-group session on NTS, feedback targeting NTS, and access to a self-reflective NTS checklist. The primary outcome was performance during two clinical colonoscopies, assessed using the Joint Advisory Group Direct Observation of Procedural Skills (JAG DOPS) tool. Thirty-nine participants completed the study. The NTS group (n = 21) had superior clinical performance during their first (P < 0.001) and second clinical colonoscopies (P < .0.001), compared to the control group (n = 18). The NTS group performed significantly better on the VR simulator (P < 0.05) and in the integrated scenario (P < 0.05). Our findings demonstrate that dedicated NTS training led to improved performance of clinical colonoscopies among novices.

The impact of artificial intelligence on the energy transition: The role of regulatory quality as a guardrail, not a wall

The purpose of this study is to explore the limited exploration of the simultaneous influence of beneficial artificial intelligence, destructive artificial intelligence, and risky artificial intelligence on green purchase intention and green purchase behaviour using the Technology Acceptance Model (TAM) and Innovation Resistance Theory (IRT). Further, it also checks the impact of green purchase intention on green purchase behaviour. Data was collected using a well-structured questionnaire from 124 consumers through online mode and analyzed using Confirmatory Factor Analysis (CFA) for reliability and validity concerns and Structural Equation Modelling (SEM) for interaction among the variables. The study's results exhibit the positive impact of beneficial artificial intelligence on green purchase intention and green purchase behaviour. Also, it reveals that destructive artificial intelligence has a positive impact on green purchase intention but a negative impact on green purchase behaviour. In addition, green purchase intention is found to be the predictor of green purchase behaviour. The extant literature is found on the impact of artificial intelligence on purchase behaviour. However, no research has been done on consumer perception of artificial intelligence and its impact on green purchase intention and green purchase behaviour as per the author’s knowledge. This study contributes to the literature of artificial intelligence as well as green consumer behaviour.

This study explores the impact and perceptions of artificial intelligence (AI) in modern society, focusing on the attitudes of young individuals in Kazan, Russia. The purpose of the research is to investigate the integration of AI into various facets of life and its implications. Employing qualitative and quantitative research methods, the study assembles a diverse focus group and conducts a sociological survey among 2206 Russian youth to gauge digital socialization and competencies. The results reveal that AI, in its current state, serves as a valuable support tool for professional, educational, and creative tasks but is not viewed as a complete replacement for human capabilities. However, concerns arise regarding potential job displacement, creativity's degradation, and data security threats. In conclusion, while AI holds promise for transforming industries and daily life, it remains a tool with limitations. Responsible AI implementation and further research are imperative to address ethical dilemmas and societal challenges. Striking a balance between AI's potential and its consequences is essential to ensure a harmonious coexistence between technology and humanity.

In the context of booming digital economy, artificial intelligence (AI), as a future-oriented strategic technology, opens up new research perspectives for the exploration of sustainable development strategies. This study utilizes text analysis method to construct measurement index of AI, combines social and environmental performance and financial performance to comprehensively measure sustainable development performance (TDP), and explores impact of AI on TDP of enterprises from the theoretical and empirical levels. It is found that (1) the improvement of AI plays a positive and facilitating role in increasing enterprise TDP, and conclusion remains consistent after the robustness test. (2) Mechanism test finds that AI improves firms’ TDP mainly through two pathways: green innovation (Gin) and dynamic capabilities. (3) The heterogeneity test shows that AI positively affects firms’ TDP to a greater extent in the high-tech industry and in eastern region compared to central and western regions and non-high-tech industries. (4) The increase of market incentive-based environmental regulation shows a significant positive moderating effect on AI affecting firms’ TDP. We reveal impact and mechanism of AI on TDP, which provides new empirical evidence for China to carry out the AI era and enterprises to realize sustainable development.

Artificial intelligence (AI) has revolutionized the scientific and biological fields to facilitate animal and human health. The purpose of this chapter is to explain the impact and role of AI in medical health, animal health, and the coordination of these health sectors using information and communication tools (ICTs) to facilitate health for all in general. Precision medicine, drug discovery, robotics, machine learning, and language processing through AI have been well-elaborated and integrated. AI replaced the major human workforce and also reduced the use of excessive manpower, biologicals, machines, radiations, and surgical instruments to analyze, investigate, and make tentative diagnoses not only in humans but also in various fields of veterinary sciences. In this chapter, major achievements and highlights made by AI technologies and ICTs were described comprehensively from different databases.

Artificial Intelligence (AI) is an increasingly progressive field that aims to develop computer systems capable of producing inventive and creative content, including text, images, music, video, and audio, that closely resemble human-generated material. AI has significantly impacted education, with both positive and negative implications. While it has gained widespread popularity, it has also raised concerns about bias, misinformation, misuse, and risk, emphasising the need for the responsible implementation and development of generative AI in education. There have been discussions about whether it should be prohibited or whether teachers and students should receive adequate training to use it effectively and ethically. The purpose of AI in education should be to embrace the opportunities it presents while maintaining high academic standards. Renowned universities have developed guidelines and manuals for the responsible use of generative AI tools. This study examines the impact of generative AI on education, analysing its advantages and disadvantages in schools, its outcomes, and how teachers and students can use it for educational purposes. The study also emphasizes the effective use of AI in education, employing qualitative and quantitative methods to evaluate its usage. The results highlight the benefits and drawbacks of generative AI in education, concluding with recommendations and future applications of generative AI in education.