The rapid integration of large language models (LLMs) such as GPT-4 and DeepSeek R1 into higher education has generated considerable enthusiasm among educators and…

The rapid convergence of artificial intelligence, data science, generative AI systems such as ChatGPT, and immersive environments like the metaverse is reshaping the epistemic,…

The operating logic of AI detectors largely relies not on content accuracy but on stylometric patterns. In other words, algorithms determine whether a text…

Across recent empirical work on AI-supported academic writing, the role of large language models in literature reviewing emerges as a bounded but strategically important…

The rapid integration of large language models into clinical decision-support systems has generated an intense methodological and ethical debate within the health informatics literature.…

The article maps the contemporary AI ethics landscape by shifting the organizing question from what moral concerns are discussed to how those concerns are…

This article investigates whether AI-based large language models provide the same quality of patient education across all languages, specifically testing Turkish as a language…

Artificial intelligence is already reshaping clinical decision-making, but the real stress test begins when an AI-driven recommendation harms a patient and everyone asks the…

Clinicians often joke that they went into medicine to help people, then met the EHR and started helping dropdown menus. This systematic review and…

The rapid emergence of generative artificial intelligence (GenAI) since the debut of ChatGPT in late 2022 has fundamentally shifted the landscape of human-technology interaction,…

Artificial intelligence in hospital fall prevention: Current applications, challenges, and future directions synthesizes an emerging, fragmented evidence base into a clinically usable map of…

The article “Foundation model of electronic medical records for adaptive risk estimation” proposes a new way of thinking about early warning and risk prediction…

The dominant narrative in the field is that large language models (LLMs) have broad potential in healthcare, but should be treated as “limited yet…

The layered model you have defined does not describe a simple sequence of prompts and responses; it describes an industrial-scale knowledge refinery. Instead of…

Artificial intelligence has left the pilot stage and moved into clinics, command centers, and policymaking tables across the WHO European Region. The World Health…

In the rapidly evolving landscape of artificial intelligence (AI) in medicine, the integration of Explainable AI (XAI) is often championed as a remedy to…

In their article “The secrets of medical students’ psychological resilience: A dual perspective of machine learning and path analysis,” Su and colleagues tackle a…

The article “Adoption of Artificial Intelligence Technologies in Biomedical Research for Major Diseases: A Bibliometric Analysis” by Duarte-Martínez, Zambrano-Arriaga, and Cobo offers a structured…

The first core controversy regarding the use of artificial intelligence in medical writing is the problem of epistemic reliability. Large language models can rapidly…

Artificial intelligence is no longer just helping clinicians read scans or predict sepsis. It is now helping them write. Case reports, review articles, educational…

The comprehensive article published in the journal Philosophy, Ethics, and Humanities in Medicine and written by Metin Akgün examines the profound and nuanced transformation…

Artificial intelligence is no longer just a clever writing shortcut. Across higher education, medicine, and scientific publishing, AI-supported academic writing is reshaping how we…

Today, we’re exploring a systematic review titled “Artificial Intelligence in Predictive Healthcare,” authored by Abeer Al-Nafjan and her colleagues from Imam Mohammad Ibn Saud…

The rapid growth of Artificial Intelligence (AI) applications necessitates the development of sophisticated risk management models to balance its immense opportunities with significant risks.…

This extensive editorial, “From Scarcity to Abundance: Scholars and Scholarship in an Age of Generative Artificial Intelligence,” published in the Academy of Management Journal…

Traditional research methods often fall short in capturing the intricate interplay of social and environmental factors that shape mental health. However, a groundbreaking review…

The provided source, titled “One shot at trust: building credible evidence for medical artificial intelligence”, authored by Ramez Kouzy, Julian C. Hong, and Danielle…

This pioneering study, “Can a Large Language Model Judge a Child’s Statement?: A Comparative Analysis of ChatGPT and Human Experts in Credibility Assessment,” addresses…

This research article, titled “Cultivating healthcare innovators: a cross-sectional study on entrepreneurial abilities and influencing factors among nursing undergraduates”, addresses a critical gap in…

The article, “Use of machine learning to predict creativity among nurses: a multidisciplinary approach” by Rola H. Mudallal, Majd T. Mrayyan, and Mohammad Kharabsheh,…

This study, titled “Mediating Effect of Perceived Professional Benefit on the Relationship Between Spiritual Health and Spiritual Care Competence Among New Nurses: A Cross-Sectional…

Mental health issues, including insomnia, anxiety, and depression, have seen a significant global increase, leading to a considerable burden on both the quality of…

Large Language Models (LLMs) are advanced artificial intelligence systems that leverage deep learning and natural language processing (NLP) techniques, trained on extensive datasets to…

Unveiling the Future of Healthcare: A 25-Year Deep Dive into AI and Machine Learning Trends A groundbreaking bibliometric analysis offers an unparalleled global and…

This introductory text highlights key insights from a recent bibliometric study titled “Global research trends in the application of artificial intelligence in oncology care:…

Artificial intelligence (AI) is rapidly emerging as a transformative technology in healthcare, particularly in the demanding field of critical illness medicine. Critical illness presents…

The global burden of chronic diseases, characterized by their high prevalence, morbidity, mortality, and substantial socioeconomic impact, presents significant challenges to traditional healthcare models.…

A Bibliometric Analysis of Artificial Intelligence in Medicine (2019-2023) The integration of artificial intelligence (AI) into medicine has inaugurated an era of unprecedented innovation,…

Antimicrobial Resistance (AMR) has been recognized as a global public health emergency, with projections indicating it could cause 10 million deaths annually by 2050…

The Transformative Role of Artificial Intelligence in Non-Communicable Disease Management Non-communicable diseases (NCDs), encompassing chronic conditions such as cardiovascular diseases, cancer, diabetes, and chronic…

This article, “A Bibliometric Analysis to Study the Evolution of Artificial Intelligence in Business Ethics,” by Tani, Muto, Basile, and Nevi, offers a comprehensive…

Introduction to the Study: Digital Health Competences and AI Beliefs in Evidence-Based Medicine The practice of Evidence-Based Medicine (EBM) is paramount for enhancing medical…

This introductory text provides an overview of the perspective paper “Transforming Healthcare with AI: Promises, Pitfalls, and Pathways Forward”, authored by Ali Shuaib. Published…

This comprehensive introduction highlights the key aspects of the journal pre-proof titled “The Human Brain in Decision-Making Processes in Hospital Administrative and Financial Units:…

Unlocking the Future of Healthcare: The Transformative Power of AI in Hospital Management Discover the groundbreaking insights into how Artificial Intelligence (AI) is revolutionizing…

Introduction to “The Impact of AI on Healthcare: Driving Efficiency, Accuracy, and Innovation” Authored by Kranthi Godavarthi and published in the Journal of Technology…

Unlocking the Future of Healthcare Administration: A Deep Dive into AI’s Transformative Power and Pressing Challenges Discover the profound impact of Artificial Intelligence (AI)…

This detailed text introduces the article titled “Navigating the doctor-patient-AI relationship – a mixed-methods study of physician attitudes toward artificial intelligence in primary care”.…

This scholarly article, “A bibliometric analysis of the advance of artificial intelligence in medicine,” authored by Mian Lin, Lingzhi Lin, Lingling Lin, Zhengqiu Lin,…

Introduction to the Study: Predicting Under-Five Mortality in Low Sociodemographic Index States of India Under-five mortality (U5MR) is a critical global health indicator, reflecting…

Quantum Computing: Revolutionizing the Medical Sector The current decade, often referred to as the “quantum decade,” marks a pivotal era where ever-improving quantum computers…

This paper, an initiative of the Process-Oriented Data Science in Healthcare Alliance (PODS4H), offers a comprehensive overview of the application of process mining techniques…

Reference: Hamet, P., & Tremblay, J. (2017). Artificial intelligence in medicine. Metabolism Clinical and Experimental, 69, S36–S40. http://dx.doi.org/10.1016/j.metabol.2017.01.015

This paper, titled “Digital Twin in Industry: State-of-the-Art,” authored by Fei Tao, He Zhang, Ang Liu, and A. Y. C. Nee (2018), provides a…

Mental health is a critical aspect of overall well-being, encompassing emotional, social, and psychological states. However, mental health disorders (MHDs) are highly prevalent, affecting…

Unlock the Future of Healthcare with Harmonized AI-SaMD Regulation! Artificial intelligence (AI) software as a medical device (AI-SaMD) holds the potential to revolutionize patient…

Unlocking Sustainable Growth: How GenAI Capabilities Drive Green Innovation in Internationalizing SMEs The emergence of Generative Artificial Intelligence (GenAI) marks a profound technological shift,…

This article, titled “Socially shared regulation of learning and artificial intelligence: Opportunities to support socially shared regulation,” explores the potential of Artificial Intelligence (AI)…

This study, titled “Artificial intelligence policy frameworks in China, the European Union and the United States: An analysis based on structure topic model,” published…

This article, titled “Why ‘Artificial Intelligence’ Should Not Be Regulated,” by Daniel Braun from the Department of Hightech-Business and Entrepreneurship at the University of…

This article, “When code isn’t law: rethinking regulation for artificial intelligence” by Brian Judge, Mark Nitzberg, and Stuart Russell, published in Policy and Society…

This article, titled “Limitations of risk-based artificial intelligence regulation: a structuration theory approach” and authored by Lily Ballot Jones, Julia Thornton, and Daswin De…

This article, “The applications and advances of artificial intelligence in drug regulation: A global perspective”, offers an in-depth review of the current status of…

Discover the Profound Impact of ChatGPT on Our Digital World! A groundbreaking new review, “ChatGPT and Digital Transformation: A Narrative Review of Its Role…

Unveiling ChatGPT: Opportunities, Challenges, and the User Perspective in Italy A groundbreaking empirical study, “ChatGPT between opportunities and challenges: an empirical study in Italy,”…

Unveiling the Potential and Pitfalls: A Critical Look at Chat GPT’s Role in Drug-Drug Interaction Analysis The intricate process of analyzing potential drug-drug interactions…

Discover the Future of Nursing Education: A Scoping Review on AI Integration in Simulation In an era where artificial intelligence (AI) is rapidly transforming…

Blockchain technology presents a revolutionary paradigm for enhancing both the security and interoperability of healthcare data management, addressing the inherent complexities and costs of…

Revolutionizing Healthcare with Fog Computing: Insights from “Fog Computing for Healthcare 4.0 Environment: Opportunities and Challenges” The rapid evolution of technology has ushered in…

Healthcare 4.0 (HC4.0) represents a profound transformation in the health sector, driven by the convergence of advanced Information and Communication Technologies (ICTs) from the…

This article, titled “Thematic Analysis and Artificial Intelligence: A Step-by-Step Process for Using ChatGPT in Thematic Analysis,” by Muhammad Naeem, Tracy Smith, and Lorna…

This paper introduces LM-RRG, a novel method for Radiology Report Generation (RRG), which aims to automatically create accurate and comprehensive radiology reports based on…

This article introduces the research paper “Sequential Diagnosis with Language Models” by Harsha Nori, Mayank Daswani, Christopher Kelly, Scott Lundberg, Marco Tulio Ribeiro, Marc…

This detailed introductory text is based on the article “Unlocking Patient Resistance to AI in Healthcare: A Psychological Exploration” by Sobaih, A. E. E.,…

This paper, titled “Swiss Cheese Model for AI Safety: A Taxonomy and Reference Architecture for Multi-Layered Guardrails of Foundation Model Based Agents”, authored by…

This paper, titled “A scoping review of fair machine learning techniques when using real-world data” by Huang et al. (2024), provides a comprehensive overview…

This article, titled “Enhancing systematic literature reviews with generative artificial intelligence: development, applications, and performance evaluation”, presents a novel approach to streamlining the traditionally…

This article, titled “Using artificial intelligence for systematic review: the example of elicit”, was authored by Nathan Bernard, Yoshimasa Sagawa Jr, Nathalie Bier, Thomas…

This ISPOR Working Group Report, titled “Generative Artificial Intelligence for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations,” offers a comprehensive review of the…

This article, titled “Artificial Intelligence in Health Professions Education assessment: AMEE Guide No. 178,” is published in Medical Teacher and authored by Ken Masters,…

This insightful article, titled “Generative Artificial Intelligence Use in Healthcare: Opportunities for Clinical Excellence and Administrative Efficiency,” delves into the transformative potential of Generative…

This article, titled “Convergence of evolving artificial intelligence and machine learning techniques in precision oncology,” published in partnership with Seoul National University Bundang Hospital,…

The article, “Machine learning and public health policy evaluation: research dynamics and prospects for challenges” by Li, Zhou, Xu, and Ma (2025), addresses the…

The article titled “A scoping review and evidence gap analysis of clinical AI fairness” by Liu et al. (2025) offers a comprehensive examination of…

The article titled “Empirically derived evaluation requirements for responsible deployments of AI in safety-critical settings” by Morey, Rayo, and Woods (2025) provides a rigorous…

The article titled “Development of a Novel Artificial Intelligence Clinical Decision Support Tool for Hand Surgery: HandRAG” by Özmen et al. (2025) introduces an…

The article titled “Artificial intelligence’s impact on oral healthcare in terms of clinical outcomes: a bibliometric analysis” by Faten AlQaifi, Dilaver Tengilimoglu, and Ilknur…

The study by Cavallaro, Ardito, Drummond, and Ciani (2025) addresses a critical challenge in health economics and policy research: the rapidly expanding volume of…

The article titled “Risk Management and Patient Safety in the Artificial Intelligence Era: A Systematic Review” by Ferrara et al. (2024) offers a comprehensive…

The use of artificial intelligence (AI) in healthcare continues to provoke both excitement and skepticism, particularly in chronic disease management such as type 1…

Artificial Intelligence (AI) is often presented as a magical solution in healthcare: easing doctors’ workload, improving diagnostic accuracy, personalizing treatments, and enhancing service quality.…

In a world where health systems are under constant pressure to allocate resources effectively, understanding and predicting healthcare demand is no longer optional—it’s essential.…

As healthcare datasets grow more complex, researchers face a critical challenge: how to distill thousands of variables into a model that’s both accurate and…