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relevance law

GeneTech 知识引擎共收录 98 篇相关科研实体，横跨 16 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Research That Matters: A Call for Enhancing Rigour and Relevance in Artificial Intelligence Research in Endodontics
  2026 · 医疗人工智能 · Artificial intelligence (AI) is emerging as a powerful tool in dentistry, where endodontics can benefit significantly from its potential applications. From enhanced diagnostic accuracy to treatment planning and decision-…
• The Evolving Role of AI in Simulation-Based Medical Education: A Narrative Review
  2026 · 医疗人工智能 · Purpose: A growing body of literature has emerged on the topic of Artificial Intelligence (AI) use in Simulation-Based Medical Education (SBME) in recent years, but most studies have focused on isolated applications of A…
• Research Pathways for Automotive Exhaust Catalysts during the Transition to Electric Mobility
  2026 · 碳中和与 CCUS · High Resolution Image Download MS PowerPoint Slide The global automotive market has long been dominated by internal combustion vehicles (ICVs), which have provided essential mobility but also emitted air pollutants that …
• Near‐Death Experiences in Adult ICU Patients: A Scoping Review
  2026 · 碳中和与 CCUS · BACKGROUND: Near-death experiences occur in approximately 15% of intensive care unit survivors. Despite their profound impact on post-intensive care syndrome and long-term psychological recovery, near-death experiences r…
• Digital Twins in Europe: Driving Sustainable Innovation and Sovereignty
  2026 · 数字孪生 · Abstract Digital twins are emerging as a key technological enabler for Europe’s industrial future. As high-fidelity virtual replicas of physical systems, digital twins harness advances in artificial intelligence, connect…
• Role of health digital twins in oncology drug development - a primer
  2026 · 数字孪生 · Health Digital Twins (HDTs) have attracted increasing interest as a potential tool for improving both patient care and clinical research, particularly in oncology where clinical trials remain slow, costly, and operationa…
• Cybersecurity Digital Twins for Industrial Systems: From Literature Synthesis to Framework Design
  2026 · 数字孪生 · Digital Twins (DTs) are increasingly recognized as a strategic technology for enhancing cybersecurity in industrial environments, particularly in the face of rising threats targeting Operational Technology (OT). After co…
• Quantum-Secure Communication for Future Cyber-Physical and IoT Systems: A Systematic Review of Classical to Learning Approaches
  2026 · 量子材料 · Cyber-physical systems (CPSs) based on the Internet of Things (IoT) form the backbone of modern smart infrastructures, including smart cities, healthcare monitoring, industrial automation, and intelligent transportation.…
• AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening
  2025 · AI Agent 生态 · Resume screening is a critical yet time-intensive process in talent acquisition, requiring recruiters to analyze vast volume of job applications while remaining objective, accurate, and fair. With the advancements in Lar…
• LLM-augmented multi-agent cooperative framework for medical case retrieval in cardiology
  2025 · AI Agent 生态 · Abstract Retrieving relevant medical cases or documents is a critical information retrieval (IR) task in clinical decision support, particularly in cardiology, yet traditional search methods struggle with complex semanti…
• What role should higher education institutions play in fostering AI ethics? Insights from science and engineering graduate students
  2025 · AI 安全与对齐 · The rapid advancement of artificial intelligence (AI) has raised significant ethical concerns, prompting higher education institutions to reconsider how they prepare future STEM professionals to navigate such concerns re…
• Preparing K–12 Students With AI Literacy: Proposed Framework, Progression, and Task Design Principles
  2025 · AI 安全与对齐 · This paper presents a conceptual framework for AI literacy, a hypothesized learning progression, and assessment design principles for advancing AI literacy among K–12 learners. Recognizing the importance of technical com…
• A Framework for Designing an AI Chatbot to Support Scientific Argumentation
  2025 · AI 安全与对齐 · As large language models (LLMs) are increasingly used to support learning, there is a growing need for a principled framework to guide the design of LLM-based tools and resources that are pedagogically effective and cont…
• A Survey of the Application of Explainable Artificial Intelligence in Biomedical Informatics
  2025 · 医疗人工智能 · This review investigates the application of Explainable Artificial Intelligence (XAI) in biomedical informatics, encompassing domains such as medical imaging, genomics, and electronic health records. Through a systematic…
• Artificial intelligence-based models for quantification of intra-pancreatic fat deposition and their clinical relevance: a systematic review of imaging studies
  2025 · 医疗人工智能 · High intra-pancreatic fat deposition (IPFD) plays an important role in diseases of the pancreas. The intricate anatomy of the pancreas and the surrounding structures has historically made IPFD quantification a challengin…
• The Twin Transition in Practice. Digital Technologies, Sustainability, and the Role of Family Ownership in Europe
  2025 · 数字孪生 · ABSTRACT This paper examines whether and to what extent digital technologies (DTs) foster the adoption of environmental sustainability (ES), and how this relationship is moderated by family ownership. Using data from app…
• Digital transformation in the construction industry: Analysing the impact of technological changes on construction processes
  2025 · 数字孪生 · The relevance of the problem under study lies in the rapid development of digital technologies, which provide unique opportunities for optimising and improving the efficiency of construction production. The purpose of th…
• Explainable AI for time series via Virtual Inspection Layers
  2024 · AI 安全与对齐 · The field of eXplainable Artificial Intelligence (XAI) has witnessed significant advancements in recent years. However, the majority of progress has been concentrated in the domains of computer vision and natural languag…
• Integrating superhumans and synthetic humans into the Internet of Things (IoT) and ubiquitous computing: Emerging ai applications and their relevance in the U.S. context
  2024 · 生物计算 · This paper explores the groundbreaking integration of superhuman and synthetic human technologies with the Internet of Things (IoT) and ubiquitous computing, focusing on their evolving applications within the United Stat…
• PICOT questions and search strategies formulation: A novel approach using artificial intelligence automation
  2024 · 医疗人工智能 · AIM: The aim of this study was to evaluate and compare artificial intelligence (AI)-based large language models (LLMs) (ChatGPT-3.5, Bing, and Bard) with human-based formulations in generating relevant clinical queries, …
• Animal models in neuroscience with alternative approaches: Evolutionary, biomedical, and ethical perspectives
  2024 · 脑科学 · Animal models have been a crucial tool in neuroscience research for decades, providing insights into the biomedical and evolutionary mechanisms of the nervous system, disease, and behavior. However, their use has raised …
• The relevance of biomass‐based gases as energy carriers: A review
  2024 · 碳中和与 CCUS · Abstract Climate change and the consequences of the energy crisis on the European energy markets require action to decrease the dependence on fossil fuels. Biomass‐based green gases can contribute to emission reduction g…
• Overview on WHO-HAEM5 and the diagnostic relevance of genetic alterations for the classification
  2024 · 碳中和与 CCUS · Abstract The landscape of haematological malignancies is constantly evolving, driven by advances in our understanding of their genetic basis. This has cumulated within the 5th Edition of the World Health Organization (WH…
• Team science competencies across the career life course for translational science teams
  2024 · 生命科学 · Introduction: Translational science (TS) teams develop and conduct translational research. Academic TS teams can be categorized under three constituency groups: trainees and faculty, clinical research professionals (CRP)…
• Behind the mask: a critical perspective on the ethical, moral, and legal implications of AI in ophthalmology
  2023 · AI 安全与对齐 · PURPOSE: This narrative review aims to provide an overview of the dangers, controversial aspects, and implications of artificial intelligence (AI) use in ophthalmology and other medical-related fields. METHODS: We conduc…
• A student-centered approach using modern technologies in distance learning: a systematic review of the literature
  2023 · AI 安全与对齐 · Abstract A literature review was conducted to develop a clear understanding of the student-centered approach using modern technologies in distance learning. The study aimed to address four research questions: What resear…
• The relevance of fungi in astrobiology research – Astromycology
  2023 · 地外矿物 · Since the very first steps of space exploration, fungi have been recorded as contaminants, hitchhikers, or as part of missions’ crews and payloads. Because fungi can cause human disease and are highly active decomposers,…
• Identifying fake conclusions of forensic medical examinations using an artificial intelligence technology based on the experience in the Republic of Kazakhstan: a Review
  2023 · 医疗人工智能 · This review discusses the legal aspects on the use of mathematical statistics and machine learning (hereinafter referred to as artificial intelligence) in forensic activities to identify both expert errors and fake exper…
• Twin Transition cosmetic roadmapping tool for supporting cosmetics manufacturing
  2023 · 数字孪生 · The Twin Transition is gaining increasing relevance in the manufacturing sector as it strives to implement and exploit digital technologies to improve the Environmental Sustainability of companies. This topic holds parti…
• Quantum Simulation for High-Energy Physics
  2023 · 量子材料 · It is for the first time that quantum simulation for high-energy physics (HEP) is studied in the U.S. decadal particle-physics community planning, and in fact until recently, this was not considered a mainstream topic in…
• The Interaction of AI and Early Childhood Education. A State-of-the-art Review 2020–2024
  2026 · 脑科学 · Abstract This study offers a comprehensive state-of-the-art review of Artificial Intelligence (AI) and Early Childhood Education (ECE) research, focusing on publications from 2020 to 2024. The primary objectives are to m…
• Aerospace Engineering Undergraduate Laboratory Courses: A Systematic Review (1990–2025)
  2026 · 数字孪生 · ABSTRACT This review examines the evolution of undergraduate aerospace engineering (AE) laboratories from 1990 to 2025, focusing on course formats, pedagogy, technology, and assessment. Once centered on traditional demon…
• Prospects for Implementing the Digital Twin of an Organization Concept in Corporate Governance
  2026 · 数字孪生 · The article examines the prospects of adopting a Digital Twin of an Organization (DTO) as an instrument of corporate governance in data-intensive firms, with a focus on AI-enabled real-estate operations. Relevance is det…
• AN ATTEMPT AT A NATURAL SCIENCE EXPLANATION OF THE UFO/UAP PHENOMENON IN THE CONTEXT OF THE ACTA UNIVERSI 2025 HYPOTHESIS
  2025 · 生物计算 · Abstract The paper presents a study of the UFO/UAP phenomenon in the context of the new Acta Universi hypothesis about the nature of dark energy. The research is based on the analysis of modern cosmological data and theo…
• What Is the Role of Explainability in Medical Artificial Intelligence? A Case-Based Approach.
  2025 · 医疗人工智能 · This article reflects on explainability in the context of medical artificial intelligence (AI) applications, focusing on AI-based clinical decision support systems (CDSS). After introducing the concept of explainability …
• AN ATTEMPT AT A NATURAL SCIENCE EXPLANATION OF THE UFO/UAP PHENOMENON IN THE CONTEXT OF THE ACTA UNIVERSI 2025 HYPOTHESIS
  2025 · 脑科学 · Abstract The paper presents a study of the UFO/UAP phenomenon in the context of the new Acta Universi hypothesis about the nature of dark energy. The research is based on the analysis of modern cosmological data and theo…
• Computer Simulation Everywhere: Mapping Fifteen Years Evolutionary Expansion of Discrete-Event Simulation and Integration with Digital Twin and Generative Artificial Intelligence
  2025 · 数字孪生 · Discrete-event simulation (DES) as an operations research (OR) technique has continued to evolve since its inception in the 1950s. DES evolution mirrors the advances in computer science (hardware and software, processing…
• Digital Twins in Neuro-Oncology: A Systematic Review of Current Implementations, Technical Strategies, and Clinical Applications.
  2026 · 数字孪生 · In neuro-oncology, digital twins integrate imaging, computational modeling, and artificial intelligence to simulate tumor dynamics and guide personalized therapies, with strong predictive accuracy but limited validation,…
• Digital Twins in Pharmaceutical Manufacturing: A Scoping Review
  2026 · 数字孪生 · Digital twins offer a paradigm for real-time, predictive, and adaptive control in pharmaceutical manufacturing. Their relevance has increased with the expansion of continuous manufacturing, Process Analytical Technology,…
• A Conceptual Framework to Foster Sustainability with Gamified Digital Twins
  2026 · 数字孪生 · This paper advocates for a Human-Centered Interaction Design perspective in the design of gamified Digital Twins to support sustainability. We propose a conceptual framework for socio-technical system design grounded in …
• Financial Aspects of the Implementation of the Fourth Energy Transition
  2022 · 碳中和与 CCUS · The key issue of successful implementation of any project, program or development strategy is the problem of sufficiency and timeliness of financing of all planned activities. The purpose of this study is to analyze the …
• Machine-Learning-Based Digital Twin in Manufacturing: A Bibliometric Analysis and Evolutionary Overview
  2022 · 数字孪生 · The Digital Twin (DT) concept in the manufacturing industry has received considerable attention from researchers because of its versatile application potential. Machine Learning (ML) adds a new dimension to DT by enhanci…
• Graph neural networks for materials science and chemistry
  2022 · 量子材料 · Machine learning plays an increasingly important role in many areas of chemistry and materials science, being used to predict materials properties, accelerate simulations, design new structures, and predict synthesis rou…
• Machine learning in drug design: Use of artificial intelligence to explore the chemical structure–biological activity relationship
  2021 · 医疗人工智能 · Abstract The paper presents a comprehensive overview of the use of artificial intelligence (AI) systems in drug design. Neural networks, which are one of the systems employed in AI, are used to identify chemical structur…
• Using technology to improve the management of development impacts on biodiversity
  2021 · 深海科技 · Abstract The mitigation hierarchy (MH) is a prominent tool to help businesses achieve no net loss or net gain outcomes for biodiversity. Technological innovations offer benefits for business biodiversity management, yet …
• Utilizing Industry 4.0 on the Construction Site: Challenges and Opportunities
  2020 · 医疗人工智能 · In recent years, a step change has been seen in the rate of adoption of Industry 4.0 technologies by manufacturers and industrial organizations alike. This article discusses the current state of the art in the adoption o…
• Modeling physician variability to prioritize relevant medical record information
  2020 · 医疗人工智能 · OBJECTIVE: Patient information can be retrieved more efficiently in electronic medical record (EMR) systems by using machine learning models that predict which information a physician will seek in a clinical context. How…
• Artificial intelligence in the diagnosis of pediatric allergic diseases
  2020 · 医疗人工智能 · Artificial intelligence (AI) is a field of data science pertaining to advanced computing machines capable of learning from data and interacting with the human world. Early diagnosis and diagnostics, self-care, prevention…
• Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction
  2020 · 仿生智能 · Explainable artificial intelligence (XAI) can help foster trust in and\nacceptance of intelligent and autonomous systems. Moreover, understanding the\nmotivation for an agent's behavior results in better and more success…
• User centered development of a Digital Twin concept with focus on sustainability in the clothing industry
  2020 · 数字孪生 · The optimization of a product's socio-economic and environmental impact is gaining more relevance for customers and regulating institutions. Still, there is a gap between sustainable attitude and behavior. In this contex…
• Enhancing social media engagement using AI-modified background music: examining the roles of event relevance, lyric resonance, AI-singer origins, audience interpretation, emotional resonance, and social media engagement
  2024 · AI 安全与对齐 · Introduction: Drawing on the S-O-R model, this study aims to investigate the influence of three stimuli from AI-modified music (i.e., event relevance, lyric resonance, and AI-singer origins), two responses from social me…
• Ethical principles in dental healthcare: Relevance in the current technological era of artificial intelligence
  2024 · 医疗人工智能 · In the current technological era, dental practitioners are faced with various ethical challenges, highlighting the importance of bioethics in this healthcare discipline. The rise of artificial intelligence has recently s…
• Ethical and Regulatory Challenges of Generative Artificial Intelligence in Healthcare: A Chinese Perspective
  2024 · 医疗人工智能 · AIM: To provide practical insights that delve into the ethical issues and regulatory implications of generative artificial intelligence (GenAI) in healthcare. Ethical Challenges and Regulatory Impact in China is used as …
• ChatGPT and Tourist Decision‐Making: An Accessibility–Diagnosticity Theory Perspective
  2024 · 医疗人工智能 · ABSTRACT This paper investigates the role of ChatGPT in informing tourist decision‐making across different destination contexts, focusing particularly on the accessibility and diagnosticity of its recommendations. Specif…
• A decade of research in fog computing: Relevance, challenges, and future directions
  2023 · 生物计算 · Abstract Recent developments in the Internet of Things (IoT) and real‐time applications, have led to the unprecedented growth in the connected devices and their generated data. Traditionally, this sensor data is transfer…
• Neuroscience literacy in educators’ training programs in Asia: A call to action
  2023 · 脑科学 · The center of learning is the brain and the disciplinary science that examines its structure and functioning, and the nervous system as a whole, is called neuroscience. The assimilation of essential neuroscience-related …
• Architectural Reply for Smart Building Design Concepts Based on Artificial Intelligence Simulation Models and Digital Twins
  2023 · 数字孪生 · Artificial Intelligence (AI) simulation models and digital twins (DT) are used in designing and treating the activities, layout, and functions for the new generation of buildings to enhance user experience and optimize b…
• A decade of research in fog computing: Relevance, challenges, and future directions
  2023 · 量子计算 · Abstract Recent developments in the Internet of Things (IoT) and real‐time applications, have led to the unprecedented growth in the connected devices and their generated data. Traditionally, this sensor data is transfer…
• Clarifying differences between reviews within evidence ecosystems
  2019 · AI 安全与对齐 · This paper builds on a 2012 paper by the same authors which argued that the types and brands of systematic review do not sufficiently differentiate between the many dimensions of different review questions and review met…
• Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
  2018 · 医疗人工智能 · Artificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML), which is a subset of AI wherein machines autonomously acquire information by extracting patterns from large databases, has be…

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