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Artificial intelligence in undergraduate medical education: an updated scoping review

BACKGROUND: The irrevocable alteration of medical education due to widespread access to large language models (LLMs) in 2022, and the concomitant surge in AI-related literature, has prompted us to update the evolving impact of AI on undergraduate medical education (UGME). METHODS: The scoping review adhered to the framework of Arksey and O'Malley. A literature search was conducted in April 2024 on PubMed, Scopus, Web of Science Core Collection, ERIC, and Google Scholar using the terms "UGME", "medical students",…

BMC Medical Education · Health

Evidence-backed problem

Deepfake Technology and Gender-Based Violence: A Scoping Review

Online violence against women (OVAW) is a growing global problem with deepfakes in gender-based violence as one manifestation of this that has recently attracted considerable attention. This scoping review aims to explore emerging complexities in current academic understandings of deepfake in relation to its use in gender-based violence. The review considers how these issues impact and shape what is currently known about deepfakes in relation to OVAW. Articles were collected between July and September 2024 and t…

Science

Evidence-backed gain

LLMs for Cybersecurity in the Big Data Era: A Comprehensive Review of Applications, Challenges, and Future Directions

This paper presents a systematic review of research (2020–2025) on the role of Large Language Models (LLMs) in cybersecurity, with emphasis on their integration into Big Data infrastructures. Based on a curated corpus of 235 peer-reviewed studies, this review synthesizes evidence across multiple domains to evaluate how models such as GPT-4, BERT, and domain-specific variants support threat detection, incident response, vulnerability assessment, and cyber threat intelligence. The findings confirm that LLMs, parti…

Crime

Both readings

Navigating the Complexity of Generative AI Adoption in Software Engineering

This article explores the adoption of Generative Artificial Intelligence (AI) tools within the domain of software engineering, focusing on the influencing factors at the individual, technological, and social levels. We applied a convergent mixed-methods approach to offer a comprehensive understanding of AI adoption dynamics. We initially conducted a questionnaire survey with 100 software engineers, drawing upon the Technology Acceptance Model, the Diffusion of Innovation Theory, and the Social Cognitive Theory a…

Labor

Both readings

The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century

As healthcare systems around the world face challenges such as escalating costs, limited access, and growing demand for personalized care, artificial intelligence (AI) is emerging as a key force for transformation. This review is motivated by the urgent need to harness AI's potential to mitigate these issues and aims to critically assess AI's integration in different healthcare domains. We explore how AI empowers clinical decision-making, optimizes hospital operation and management, refines medical image analysi…

Health

Evidence-backed gain

Leveraging transfer learning with deep learning for crime prediction

Crime remains a crucial concern regarding ensuring a safe and secure environment for the public. Numerous efforts have been made to predict crime, emphasizing the importance of employing deep learning approaches for precise predictions. However, sufficient crime data and resources for training state-of-the-art deep learning-based crime prediction systems pose a challenge. To address this issue, this study adopts the transfer learning paradigm. Moreover, this study fine-tunes state-of-the-art statistical and deep…

Crime

Evidence-backed problem

Deepfakes and the Geneva Conventions: Does Deceptive AI-Generated Misinformation Directed at an Enemy During Armed Conflict Violate International Humanitarian Law? A Critical Discussion

‘Deepfakes’ and other forms of digital communications disinformation are now on the virtual frontlines of many armed conflicts. Military commanders can potentially gain significant tactical advantages by misleading enemy forces, opposing governments, and civilian populations into believing X when Y is the true state of affairs. Distinct from military propaganda, deliberate deceptions and subterfuge have long been part of warfare. However, a powerful claim is advanced that deepfakes such as announcing surrender,…

Policy

From automation technology to generative AI: skill heterogeneity in technology’s impact on laborers

Abstract This is a study of skill heterogeneity in technology’s impact on laborers transitioning from physical automation to cognitive automation. The findings indicate that cognitive skills are a crucial determinant of the extent of technological influence. Considering both technological substitution and technological control, high-skilled and low-skilled workers experience limited technological substitution. However, high-skilled workers are not significantly affected by technological control, whereas low-skil…

Labor

REVOLUTIONIZING EDUCATION THROUGH AI: A COMPREHENSIVE REVIEW OF ENHANCING LEARNING EXPERIENCES

Artificial Intelligence (AI) is transforming the landscape of education, offering innovative solutions to enhance learning experiences. This review provides a comprehensive overview of how AI is revolutionizing education, focusing on its impact on learning outcomes, teaching methodologies, and the overall educational ecosystem. The adoption of AI in education has led to personalized learning experiences tailored to individual student needs. AI-powered adaptive learning systems analyze student performance data to…

Education

Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning

The advancement of artificial intelligence (AI) and the ubiquity of social media have become transformative agents in contemporary educational ecosystems. The spotlight of this inquiry focuses on the nexus between AI and social media usage in relation to academic performance and mental well-being, and the role of smart learning in facilitating these relationships. Using partial least squares-structural equation modeling (PLS-SEM) on a sample of 401 Chinese university students. The study results reveal that both…

Education

Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning

Artificial Intelligence in Music Generation: Techniques, Applications, and Challenges

The rapid advancement of artificial intelligence (AI), particularly in the field of deep learning, has significantly impacted creative domains such as music generation. From rule-based approaches to powerful generative models, AI is now capable of composing melodies, harmonies, and entire musical pieces with a degree of coherence and creativity previously thought to be uniquely human. This paper explores the evolution of AI-driven music generation, examining key technologies in- cluding Recurrent Neural Networks…

Media & Arts

LSTM and CNN-Based Detection of AI-Generated Classical Music From MIDI Features

Detecting AI-generated classical music is a growing challenge as artificial intelligence continues to improve its ability to compose pieces that closely resemble human compositions. This study explores the use of deep learning methods like LSTM and CNN to classify whether a set of classical music is generated by AI or humans. The classification is based on sequential features extracted from MIDI files using beat-based segmentation, capturing statistical data of pitch, velocity, and duration over segments. The mo…

Media & Arts

LSTM and CNN-Based Detection of AI-Generated Classical Music From MIDI Features

Technology-Driven Change in Human Resource Management: Reshaping Talent Management and Organizational Design

The digital transformation of human resource management is fundamentally reshaping how organizations manage talent and design their structures. However, a comprehensive understanding of the drivers, impacts, and implementation challenges of this shift is critically needed. The purpose of this review is to consolidate recent literature to provide a holistic overview of this technology-driven evolution. It examines key technological drivers—such as artificial intelligence, automation, and data analytics—and their…

Labor

Technology-Driven Change in Human Resource Management: Reshaping Talent Management and Organizational Design

Strategic Human Resource Management in the Digital Era: Technology, Transformation, and Sustainable Advantage

The rapid integration of emerging technologies into organizational processes has fundamentally redefined the role of strategic human resource management (SHRM). This paper explores how digital innovations—such as artificial intelligence (AI), robotic process automation (RPA), blockchain, and immersive technologies—are reshaping the workforce and transforming the way organizations attract, develop, and retain talent. In the context of the digital era, human capital is no longer a passive input but a strategic ena…

Labor

Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach

Artificial intelligence (AI) is playing a leading role in the digital transformation of enterprises, particularly in the manufacturing industry where it has been responsible for a profound transformation in key business and production operations. Despite the accelerated growth of AI technologies, knowledge of the implementation of AI by small and medium-sized enterprises (SMEs) remains underexplored. Thus, this study seeks to examine how manufacturing SMEs orchestrate resources for AI implementation. Building on…

Business