درخت حوزه‌های تخصصی

This qualitative study examined the perspectives of Iranian clinical interns on the future of artificial intelligence in healthcare, with a focus on perceived opportunities, challenges, and the readiness of medical professionals for AI integration. A total of 64 clinical interns were recruited through snowball sampling from teaching hospitals across Tehran. Data were collected through semi-structured interviews and analyzed using thematic analysis to identify key insights regarding the participants' views on AI technologies in clinical practice. The findings revealed a general optimism about the potential of AI to enhance diagnostic accuracy, streamline workflows, and improve patient outcomes. However, participants expressed concerns about ethical dilemmas, such as the impact of AI on clinical decision-making autonomy and patient privacy. Many interns highlighted the need for AI to complement rather than replace human judgment in medicine. Additionally, most participants identified significant gaps in their training regarding AI, emphasizing the necessity for curriculum reforms to better prepare future clinicians for working alongside advanced technologies.

The increasing digitalization of society has amplified the digital divide, particularly affecting the elderly population. As life expectancy rises globally, integrating older adults into the digital world is essential to promoting social inclusion, reducing isolation, and enhancing personal independence. This article investigates the potential of media literacy as a solution to improve IT skills among elderly individuals. Media literacy encompasses not only the technical ability to use digital tools but also the critical skills necessary to work with and evaluate digital information responsibly. The study examines barriers such as limited prior exposure to technology, cognitive decline, and socio-economic constraints, which hinder older adults’ ability to acquire IT competencies. It also explores successful interventions, including community-driven workshops, adaptive learning programs, and intergenerational training models designed to meet seniors' unique learning needs. Findings suggest that media literacy-based IT training enhances both digital proficiency and social participation among older learners. The article concludes with practical policy recommendations aimed at integrating media literacy into national education programs targeting the elderly. Future research should focus on cross-cultural evaluations of media literacy initiatives and long-term impacts on seniors' quality of life in an increasingly digital world.

Education plays a pivotal role in shaping successful business management, serving as both an ethical imperative and a strategic advantage. This article argues that investing in the education of personnel is not merely a moral responsibility but a key driver of organizational success. Educated employees contribute to higher brand value, operational efficiency, mental health, media literacy, and physical well-being, all of which synergistically enhance business outcomes. Businesses that prioritize the continuous learning and development of their workforce foster a culture of innovation, resilience, and adaptability, crucial in today’s competitive and fast-evolving markets. Furthermore, well-educated employees are better equipped to handle complex challenges, leverage technology, and uphold organizational values, thereby strengthening both internal processes and external reputation. Beyond the immediate benefits, such investments signal a company’s commitment to social responsibility, fostering loyalty among employees and stakeholders alike. This article emphasizes the multidimensional benefits of prioritizing education in business strategy and highlights practical approaches for integrating educational initiatives into corporate frameworks.

Background: In the digital age, the expansion of social media platforms has profoundly impacted various aspects of life, including family relationships.Aim: This article addresses the complex dynamics of family communication, particularly focusing on Iranian families. In this article, we study the perceptions of users and followers of family blogger pages regarding the representations of family life on Instagram.Methodology: Through interviews with users, we seek to understand their understanding of concepts such as love, intimacy, home, and marital relationships. To study how followers perceive and interpret family-oriented pages on Persian Instagram, approximately 29 qualitative interviews were conducted with three groups of respondents. These groups included users, informants, and family psychologists and counselors (couple therapists).Findings: The concept of family display helps us understand what practices are defined as "family practices" from the perspective of users and followers of family pages on Instagram. On the other hand, Hall’s theoretical model helps us understand the category of readings that users’ interpretations and perceptions of the family representation on these pages fall into. The findings reveal the evolving nature of family relationships in the digital age, particularly concerning Iranian families. The findings show that the readings of users following these pages are generally hegemonic and can be divided into three main axes: family rituals, marital relationship, and feminine power, each of which has its own sub-themes. In addition, some interviewees mentioned contrasting and negotiating perceptions.Conclusions: The results indicate that readings are complex processes shaped by the cultural contexts and lived experiences of the readers, leading to a combination of interpretations rather than a wholesale acceptance or rejection of media representations. Additionally, followers with preferred readings expressed dual emotions ranging from idealization and beautiful aspirations to feelings of alienation and dissatisfaction with their relationships.

Background: Misinformation has undergone significant transformations over the past few decades, evolving from relatively simple text-based fake news articles to highly sophisticate AI-driven content such as deepfakes and other forms of manipulated media.Aims: This paper traces the historical development of misinformation, its increasing reliance on Artificial Intelligence (AI), and the potential future trajectories of disinformation as AI technologies advance.Methodology: We begin by examining the shift from traditional text-based disinformation campaigns, often propagated via social media platforms, to more immersive and persuasive forms of AI-generated media.Discussions: We discuss how AI techniques, such as Generative Adversarial Networks and Natural Language Processing, have revolutionized the landscape of false information, allowing for the automation of misinformation production and its widespread dissemination at an unprecedented scale. Furthermore, this paper investigates the role of social media algorithms in amplifying disinformation, demonstrating how these platforms, originally designed to prioritize user engagement, inadvertently aid in the spread of false information by promoting sensationalized or emotionally charged content. Through an in-depth analysis of case studies, including the COVID-19 pandemic and the 2020 U.S. elections, this paper highlights the dangers posed by AI-generated misinformation, particularly deepfakes, which are becoming increasingly difficult to detect, even by advanced AI systems. The implications of this shift for democratic processes, public trust, and societal cohesion are profound. This paper also explores the ethical dilemmas posed by AI-driven misinformation and presents potential solutions through the lens of AI-enhanced detection technologies and policy interventions. Lastly, this paper emphasizes the urgent need for interdisciplinary cooperation between policymakers, technologists, and media organizations to mitigate the harmful impacts of AI-driven misinformation while preserving the integrity of information in the digital age.Conclusions: By exploring both technological and regulatory approaches, a comprehensive framework for understanding the evolving threat of AI-driven disinformation is essential and pathways for future research in this critical area is suggested.