AI 安全与对齐 · 全部实体（第 53 / 100 页）

本页收录第 5201–5300 条，共 10000 条 · 返回 AI 安全与对齐 首页

• Educational Neuroscience Meets AI: A Framework for Secondary Science Teaching
  This study investigates the transformative potential of integrating artificial intelligence (AI) into secondary school science education from an educational neuroscience perspective. A literature review of studies published between 2013 and 2024 was conducted …
  openalex Clarisse Schembri Frendo, Diane Vassallo 2025-01-01 置信度 0.72 Cognitive scienceScience educationPsychologyEducational neuroscienceMathematics education
• AI-Driven Sustainable Competitive Advantage in Tourism and Hospitality: Mediating Roles of Digital Culture and Skills
  This study explored how AI affects the sustainability of competitive advantage in the tourism and hospitality sector, with a particular focus on the mediating roles of digital culture and digital skills in the lens of the Technology Acceptance Model (TAM). Dat…
  openalex A. A. Al-Helal, Ahmed Abdulaziz Alshiha, Bassam Samir Al‐Romeedy 2025-10-07 置信度 0.72 Competitive advantageMediationBusinessTourismKnowledge management
• AI and the Future of Pedagogy
  openalex Tom Chatfield 2025-11-03 置信度 0.72 Generative grammarField (mathematics)Term (time)ReadabilityComputer science
• Harnessing AI for smart manufacturing: insights from Industry 4.0
  This paper empirically establishes artificial intelligence (AI) as a distinct factor of production within a macroeconomic Industry 4.0 model of United States manufacturing. Using a flexible translog production function estimated on monthly data, we account for…
  openalex D. A. B. Lindberg 2025-06-18 置信度 0.72 Industry 4.0Smart manufacturingManufacturing engineeringBusinessComputer science
• Descriptive overview of AI applications in x-ray imaging and radiotherapy
  Artificial intelligence (AI) is transforming medical radiation applications by handling complex data, learning patterns, and making accurate predictions, leading to improved patient outcomes. This article examines the use of AI in optimising radiation doses fo…
  openalex John Damilakis, John Stratakis 2024-12-01 置信度 0.72 Radiation therapyMedical physicsComputer scienceMedicineRadiology
• From Simulation to Autonomy: Reviews of the Integration of Artificial Intelligence and Digital Twins
  Abstract The integration of artificial intelligence (AI) with digital twin (DT) technology has revolutionised the industry by enabling the creation of autonomous, adaptive, and resilient systems that are beyond static digital replicas. AI-enhanced DTs facilita…
  openalex Seyed Mohammad Mehdi Sajadieh, Sang Do Noh 2025-05-02 置信度 0.72 AutonomyComputer sciencePsychologyArtificial intelligencePolitical science
• A comprehensive review of AI-powered grading and tailored feedback in universities
  Abstract Traditional grading systems in higher education face significant challenges, including time inefficiency, subjective bias, and scalability issues, necessitating innovative solutions. This narrative review synthesises literature from 2018 to 2025, exam…
  openalex Deepshikha Deepshikha 2025-09-30 置信度 0.72 Grading (engineering)Computer scienceTransformative learningScalabilityHigher education
• Generative AI-Based Text Generation Methods Using Pre-Trained GPT 2 Model
  A text generation model is a machine learning model that uses neural networks, especially transformers architecture to generate contextually relevant text based on linguistic patterns learned from extensive corpora. The models are trained on a huge amount of t…
  openalex Rohit Pandey, Hetvi Waghela, Sneha Rakshit, Aparna Rangari 等 2024-04-03 置信度 0.72 Generative grammarComputer scienceArtificial intelligenceNatural language processingGenerative model
• Design, Development, and Deployment of Context-Adaptive AI Systems for Enhanced User Adoption
  My research centers on the development of context-adaptive AI systems to improve end-user adoption through the integration of technical methods. I deploy these AI systems across various interaction modalities, including user interfaces and embodied agents like…
  openalex Christine P. Lee 2024-05-11 置信度 0.72 Software deploymentComputer scienceHuman–computer interactionContext (archaeology)Embodied cognition
• AI-Assisted Design of 3D-Printed Lingual Indirect Bonding Trays: A Comparative Evaluation of Bracket Transfer Accuracy
  Objectives: This study investigated the use of artificial intelligence (AI) in the design of lingual bracket indirect bonding trays and its association with bracket transfer accuracy using three-dimensional (3D) printing. Methods: Digital impressions of patien…
  openalex Hoang Viet, Thi Quynh Trang Vuong, Phuong Huyen Nguyen, Nhu Hai Pham 等 2025-06-17 置信度 0.72 MedicineBracket3d printedDentistryTransfer (computing)
• Artificial Intelligence (AI) Integration in Urban Decision-Making Processes: Convergence and Divergence with the Multi-Criteria Analysis (MCA)
  The dynamics underpinning the urban landscape change are primarily driven by social, economic, and environmental issues. Owing to the population’s fluctuating needs, a new and dual perspective of urban space emerges. The Artificial Intelligence (AI) of a terri…
  openalex Maria Rosaria Guarini, Francesco Sica, Alejandro Segura de la Cal 2024-10-31 置信度 0.72 Divergence (linguistics)Convergence (economics)Computer scienceArtificial intelligenceEconomics
• “Won’t somebody please (actually) think of the children?” AI Ethics for Children: A Scoping Review
  The rapid rise of artificial intelligence (AI) within children’s lives presents urgent ethical challenges, particularly as many of these technologies are designed with limited attention to the specific needs and vulnerabilities of its youngest users. Despite A…
  openalex Gail Collyer-Hoar, Elisa Rubegni 2025-06-28 置信度 0.72 PsychologyEngineering ethicsEngineering
• Integrating Urban Mining Concepts Through AI-Generated Storytelling and Visuals: Advancing Sustainability Education in Early Childhood
  This study investigates integrating sustainability and urban mining concepts into early childhood education through AI-assisted storytelling and visual aids to foster environmental awareness. Using ChatGPT-generated narratives and AI-drawn visuals, interactive…
  openalex Ruei-Shan Lu, Hao-Chiang Koong Lin, Yong-Cih Yang, Yo-Ping Chen 2024-12-23 置信度 0.72 StorytellingSustainabilityEarly childhood educationEarly childhoodEngineering ethics
• FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
  Large Vision-Language Models (LVLMs) signify a groundbreaking paradigm shift within the Artificial Intelligence (AI) community, extending beyond the capabilities of Large Language Models (LLMs) by assimilating additional modalities (e.g., images). Despite this…
  openalex Yichen Gong, Delong Ran, Jinyuan Liu, Conglei Wang 等 2025-04-11 置信度 0.72 Computer scienceArtificial intelligenceNatural language processingComputer graphics (images)
• Hybrid Alignment Training for Large Language Models
  Alignment training is crucial for enabling large language models (LLMs) to cater to human intentions and preferences.It is typically performed based on two stages with different objectives: instruction-following alignment and human-preference alignment.However…
  openalex Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li 等 2024-01-01 置信度 0.72 Computer scienceTraining (meteorology)Natural language processingArtificial intelligenceLanguage model
• Leveraging AI-Enhanced Commercial Insights for Precision Marketing in the Biopharmaceutical Industry
  The increasing complexity of biopharmaceutical markets, coupled with heightened regulatory oversight and fragmented stakeholder engagement channels, has created an urgent need for more precise, adaptive, and intelligence-driven marketing strategies. This study…
  openalex Ezichi Adanna Anokwuru 2024-09-30 置信度 0.72 BiopharmaceuticalComputer scienceCommercializationPersonalizationStakeholder
• Enhancing Guardrails for Safe and Secure Healthcare AI
  Generative AI holds immense promise in addressing global healthcare access challenges, with numerous innovative applications now ready for use across various healthcare domains. However, a significant barrier to the widespread adoption of these domain-specific…
  openalex Ananya Gangavarapu 2024-09-25 置信度 0.72 Health careBusinessComputer securityInternet privacyComputer science
• For Me or Against Me? Reactions to AI (vs. Human) Decisions That Are Favorable or Unfavorable to the Self and the Role of Fairness Perception
  Public reactions to algorithmic decisions often diverge. While high-profile media coverage suggests that the use of AI in organizational decision-making is viewed as unfair and received negatively, recent survey results suggest that such use of AI is perceived…
  openalex Jungmin Choi, Melody Manchi Chao 2024-10-24 置信度 0.72 PsychologyPerceptionSocial psychologyContradictionDifferential effects
• Model‐Informed Drug Development: Steps Toward Harmonized Guidance
  Global alignment of expectations is required to achieve consistency in the planning, conduct, reporting, and regulatory review of model-informed drug development (MIDD) applications. An International Council for Harmonization (ICH) MIDD general principles guid…
  openalex Scott Marshall, Malidi Ahamadi, Jenny Y. Chien, Daisuke Iwata 等 2023-08-03 置信度 0.72 HarmonizationDrug developmentContext (archaeology)ViewpointsConsistency (knowledge bases)
• Geotechnical Aspects of Underground Construction in Soft Ground
  GEOTECHNICAL ASPECTS OF UNDERGROUND CONSTRUCTION IN SOFT GROUND comprises a collection of 68 contributions, including 55 technical papers, 6 General Reports, 5 Keynotes, 1 Fujita Lecture, and 1 Bright Spark Lecture presented at the 11th International Symposium…
  openalex 2008-12-03 置信度 0.72 Geotechnical engineeringGeotechnical investigationCivil engineeringGeologyEngineering
• What role should higher education institutions play in fostering AI ethics? Insights from science and engineering graduate students
  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 responsibly. Despite growing efforts to in…
  openalex Maya Usher, Miri Barak, Sibel Erduran 2025-10-02 置信度 0.72 PreparednessHigher educationEngineering ethicsProfessional ethicsRelevance (law)
• Brain-Computer Interfaces and AI Segmentation in Neurosurgery: A Systematic Review of Integrated Precision Approaches
  Background: BCI and AI-driven image segmentation are revolutionizing precision neurosurgery by enhancing surgical accuracy, reducing human error, and improving patient outcomes. Methods: This systematic review explores the integration of AI techniques—particul…
  openalex Sayantan Ghosh, Padmanabhan Sindhujaa, Dinesh Kumar Kesavan, Balázs Gulyás 等 2025-06-26 置信度 0.72 SegmentationComputer scienceNeurosurgeryArtificial intelligenceMedicine
• Transforming Dermatopathology With AI: Addressing Bias, Enhancing Interpretability, and Shaping Future Diagnostics
  ABSTRACT Background Artificial intelligence (AI) is transforming dermatopathology by enhancing diagnostic accuracy, efficiency, and precision medicine. Despite its promise, challenges such as dataset biases, underrepresentation of diverse populations, and limi…
  openalex Diala Ra’Ed Kamal Kakish, Jehad Feras AlSamhori, Andy Noel Ramirez Fajardo, Lana N. Qaqish 等 2025-01-17 置信度 0.72 DermatopathologyInterpretabilityData sciencePsychologyComputer science
• AI Gym Buddy Using Mediapipe
  The AI Gym Trainer is a system that provides multiple features designed to provide personalized fitness coaching and nutrition tracking. Imposing the advanced pose estimation capabilities of Mediapipe, the system provides real-time responses to exercise perfor…
  openalex Aditya Malkar, Jyotidurga Pawar, Anil Kale 2024-04-23 置信度 0.72 Computer science
• Bringing AI participation down to scale
  In 2023, OpenAI's Democratic Inputs program funded 10 teams to design procedures for public participation in generative AI. In this perspective, we review the results of the project, drawing on interviews with some of the teams and our own experiences conducti…
  openalex David Moats, Chandrima Ganguly 2025-05-01 置信度 0.72 Scale (ratio)Computer scienceData scienceSociologyGeography
• AI-Enabled High-Performance Data Analytics Framework: Using Adaboost Regression For Healthcare&Automobile Domains
  The exponential growth of data in recent years has necessitated a paradigm shift from traditional data processing methods to high-performance data engineering solutions. This study presents an integrated framework that combines artificial intelligence with mod…
  openalex Rajender Radharam 2023-01-01 置信度 0.72 Computer scienceWorkflowPredictive analyticsData analysisAnalytics
• The role of AI integration and governance standards: Enhancing financial reporting quality in Islamic banking
  The objective of this research is to investigate the impact of Artificial Intelligence (AI) on improving the quality of financial reporting in the Islamic banking industry. The study is conducted within the theoretical framework of the Unified Theory of Accept…
  openalex Hisham O. Mbaidin, Nour Qassem Sbaee, Isa Othman AlMubydeen, Ubaidullah Muhammad Chindo 等 2023-12-17 置信度 0.72 Expectancy theoryStructural equation modelingAccountabilityQuality (philosophy)Corporate governance
• Annotation alignment: Comparing LLM and human annotations of conversational safety
  Do LLMs align with human perceptions of safety?We study this question via annotation alignment, the extent to which LLMs and humans agree when annotating the safety of userchatbot conversations.We leverage the recent DICES dataset (Aroyo et al., 2023), in whic…
  openalex Rajiv Movva, Pang Wei Koh, Emma Pierson 2024-01-01 置信度 0.72 AnnotationComputer scienceNatural language processingArtificial intelligenceHuman–computer interaction
• Open Problems in Technical AI Governance
  AI progress is creating a growing range of risks and opportunities, but it is often unclear how they should be navigated. In many cases, the barriers and uncertainties faced are at least partly technical. Technical AI governance, referring to technical analysi…
  openalex Anka Reuel, Ben Bucknall, Stephen Casper, Tim Fist 等 2024-07-20 置信度 0.72 Corporate governanceBusinessComputer sciencePolitical scienceFinance
• Indoor light energy harvesting perovskite solar cells: from device physics to AI-driven strategies
  The rapid advancement of indoor perovskite solar cells (IPSCs) stems from the growing demand for sustainable energy solutions and the proliferation of internet of things (IoT) devices. With tunable bandgaps and superior light absorption properties, perovskites…
  openalex Wenning Chen, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung 2025-01-01 置信度 0.72 Perovskite (structure)Energy harvestingOptoelectronicsPhysicsMaterials science
• Synergizing blockchain and AI to fortify IoT security: a comprehensive review
  Abstract The relentless growth of connected devices is transforming industrial, urban and domestic environments, yet it also expands the attack surface for distributed denial of service (DDoS), unauthorized access and data manipulation. Centralized security ar…
  openalex Deepak Kaushik, Preeti Gulia, Nasib Singh Gill, Mohammad Yahya 等 2026-01-07 置信度 0.72 Computer scienceInteroperabilityComputer securityBlockchainScalability
• Reliability, Accuracy, and Comprehensibility of AI-Based Responses to Common Patient Questions Regarding Spinal Cord Stimulation
  Background: Although spinal cord stimulation (SCS) is an effective treatment for managing chronic pain, many patients have understandable questions and concerns regarding this therapy. Artificial intelligence (AI) has shown promise in delivering patient educat…
  openalex Giuliano Lo Bianco, Marco Cascella, Sean Li, Miles Day 等 2025-02-21 置信度 0.72 MedicineReliability (semiconductor)Likert scaleSpinal cord stimulationPhysical therapy
• ChatGPT Promises and Challenges in Education: Computational and Ethical Perspectives
  This paper investigates the integration of ChatGPT into educational environments, focusing on its potential to enhance personalized learning and the ethical concerns it raises. Through a systematic literature review, interest analysis, and case studies, the re…
  openalex Amr Adel, Ali Ahsan, Claire Davison 2024-07-25 置信度 0.72 Interpersonal communicationComputer scienceEngineering ethicsBoosting (machine learning)Educational technology
• A neuro-symbolic AI approach for translating children’s stories from English to Tamil with emotional paraphrasing
  Machine translation plays a critical role in expanding access to information across diverse languages and cultures. For children's literature, there is a need for translation models that can preserve both linguistic accuracy and emotional sensitivity. However,…
  openalex P Matan, P Velvizhy 2025-06-30 置信度 0.72 TamilNatural language processingComputer scienceThe SymbolicLinguistics
• A Systematic Review of Generative AI in K–12: Mapping Goals, Activities, Roles, and Outcomes via the 3P Model
  Generative AI is reshaping k–12 learning as a multi-agent system in which goals, activities, and roles co-evolve across formal and informal environments. Following PRISMA and appraising quality with MMAT, we synthesize 84 peer-reviewed empirical studies (2020–…
  openalex Xiaoling Lin, Hao Tan 2025-09-25 置信度 0.72 Formative assessmentComputer scienceGenerative grammarQuality (philosophy)Agency (philosophy)
• Green knowledge management: A key driver of green technology innovation and sustainable performance in the construction organizations
  The primary objective of this research is to examine the effects of green knowledge management (GKM) on green technological innovation (GTI) and sustainable performance in construction firms. The study also investigates the role of artificial intelligence (AI)…
  openalex Ali Khan, Khalid Mehmood, Ho Kwong Kwan 2023-12-22 置信度 0.72 ModerationHuman capitalBusinessStructural equation modelingKnowledge management
• AI-POWERED EDUCATIONAL TOOLS: TRANSFORMING LEARNING IN THE DIGITAL ERA
  In the digital era, Artificial Intelligence (AI) is revolutionizing education by introducing innovative tools that enhance learning experiences, personalize educational pathways, and optimize curriculum design.This article explores the transformative impact of…
  openalex 2024-12-10 置信度 0.72 Digital eraComputer scienceMultimediaWorld Wide WebThe Internet
• University students’ perceptions of generative AI for critical thinking and creativity: The influence of self-efficacy and disciplinary differences
  The rapid integration of generative artificial intelligence tools, such as ChatGPT, into higher education has prompted debates about their influence on students’ cognitive and creative capacities. This quantitative, cross-sectional study surveyed 405 undergrad…
  openalex Atiyah A. Alghamdi 2025-12-06 置信度 0.72 DisciplinePerceptionCritical thinkingPsychologyGenerative grammar
• Comparing ChatGPT-3.5 and ChatGPT-4’s alignments with the German evidence-based S3 guideline for adult soft tissue sarcoma
  Clinical reliability assessment of large language models is necessary due to their increasing use in healthcare. This study assessed the performance of ChatGPT-3.5 and ChatGPT-4 in answering questions deducted from the German evidence-based S3 guideline for ad…
  openalex Chengpeng Li, Jens Jakob, Franka Menge, Christoph Reißfelder 等 2024-11-28 置信度 0.72 GuidelineSoft tissue sarcomaGermanSoft tissueSarcoma
• Which curriculum components do medical students find most helpful for evaluating AI outputs?
  INTRODUCTION: The risk and opportunity of Large Language Models (LLMs) in medical education both rest in their imitation of human communication. Future doctors working with generative artificial intelligence (AI) need to judge the value of any outputs from LLM…
  openalex William J. Waldock, George Lam, Ana Baptista, Risheka Walls 等 2025-02-06 置信度 0.72 CurriculumMedical educationPsychologyMathematics educationComputer science
• Digital Twins and AI Decision Models: Advancing Cost Modelling in Off-Site Construction
  The rising demand for housing continues to outpace traditional construction processes, highlighting the need for innovative, efficient, and sustainable delivery models. Off-site construction (OSC) has emerged as a promising alternative, offering faster project…
  openalex Joas Serugga 2025-01-22 置信度 0.72 Decision modelComputer scienceEngineeringMachine learning
• Challenges and Future Directions of Data-Centric AI Alignment
  As AI systems become increasingly capable and influential, ensuring their alignment with human values, preferences, and goals has become a critical research focus. Current alignment methods primarily focus on designing algorithms and loss functions but often u…
  openalex Min-Hsuan Yeh, Jeffrey Wang, Xuefeng Du, Park, Seongheon 等 2024-10-02 置信度 0.72 Computer science
• AI-Driven Decision-Making in Healthcare Information Systems: A Comprehensive Review
  Artificial Intelligence (AI) is revolutionizing decision-making procedures in healthcare information systems (HIS), increasing the efficacy, accuracy, and personalization of healthcare. Notwithstanding remarkable progresses, yet there remain gaps in the holist…
  openalex Maryam Bagheri, Mohsen Bagheritaba, Sohila Alizadeh, Mohammad Salemizadeh Parizi 等 2024-06-12 置信度 0.72 Health careClinical decision makingHealthcare systemInformation systemKnowledge management
• AI to rewire life’s interactome: Structural foundation models help to elucidate and reprogram molecular biology
  Structural foundation models help to elucidate and reprogram molecular biology.
  openalex Zhuoran Qiao 2025-07-17 置信度 0.72 InteractomeBiologyFoundation (evidence)Computational biologySystems biology
• Policy alignment and trustworthy AI governance in higher education
  Artificial intelligence (AI) is increasingly reshaping higher education through learning analytics, assessment support, academic integrity monitoring, student services, and institutional decision-making. This conceptual paper examines how Malaysia’s higher edu…
  openalex Kok Ban Teoh, Wee Ling Tan 2026-06-15 置信度 0.72 Corporate governanceTrustworthinessHigher educationAutonomyPublic administration
• Cognitive imperialism in artificial intelligence: counteracting bias with indigenous epistemologies
  Abstract This paper presents a novel methodology for integrating indigenous knowledge systems into AI development to counter cognitive imperialism and foster inclusivity. By critiquing the dominance of Western epistemologies and highlighting the risks of bias,…
  openalex Yaw Ofosu-Asare 2024-09-19 置信度 0.72 IndigenousPerforming artsCognitionCognitive sciencePsychology
• Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges
  Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty. Findings of the Association for Computational Linguistics: ACL 2024. 2024.
  openalex Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo 等 2024-01-01 置信度 0.72 Computer scienceData science
• A Multi-Criteria Decision-Making Approach for the Selection of Explainable AI Methods
  The growing trend of using artificial intelligence models in many areas increases the need for a proper understanding of their functioning and decision-making. Although these models achieve high predictive accuracy, their lack of transparency poses major obsta…
  openalex Miroslava Matejová, Ján Paralič 2025-12-01 置信度 0.72 Computer sciencePairwise comparisonSelection (genetic algorithm)Artificial intelligenceMetric (unit)
• Generative AI: Is Authentic Qualitative Research Data Collection Possible?
  With the advent of readily accessible generative artificial intelligence (GAI), a concern exists within the academic community that research data collected in the context of conducting doctoral dissertation research is authentic. The purpose of the present stu…
  openalex Cheryl Burleigh, Andrea Wilson 2024-08-14 置信度 0.72 Context (archaeology)Qualitative researchGenerative grammarSet (abstract data type)Data collection
• Unity of Science as a Working Hypothesis
  1 online resource (PDF, page 3-36)
  openalex Paul Oppenheim, Hilary Putnam 1958-01-01 置信度 0.72 Political scienceEpistemologyPhilosophy
• AI-Driven Mental Health Surveillance: Identifying Suicidal Ideation Through Machine Learning Techniques
  As suicide rates increase globally, there is a growing need for effective, data-driven methods in mental health monitoring. This study leverages advanced artificial intelligence (AI), particularly natural language processing (NLP) and machine learning (ML), to…
  openalex Hesham Allam, Christopher Davison, Faisal Kalota, Edward J. Lazaros 等 2025-01-20 置信度 0.72 Suicidal ideationIdeationMental healthPsychologyArtificial intelligence
• Democratizing AI in public administration: improving equity through maximum feasible participation
  Abstract In an era defined by the global surge in the adoption of AI-enabled technologies within public administration, the promises of efficiency and progress are being overshadowed by instances of deepening social inequality, particularly among vulnerable po…
  openalex Randon R. Taylor, John W. Murphy, William T. Hoston, Senthujan Senkaiahliyan 2024-11-07 置信度 0.72 Equity (law)Performing artsAdministration (probate law)Public administrationBusiness
• Trustworthy AI in Telehealth: Navigating Challenges, Ethical Considerations, and Future Opportunities for Equitable Healthcare Delivery
  Trustworthy artificial intelligence (TAI) will transform telehealth by providing safe, transparent, and ethically compliant systems that enhance clinician decision-making and patient relationships. This systematic review examines how TAI and large language mod…
  openalex Seyyed Ali Zendehbad, Jamal Ghasemi, Farid Samsami Khodadad 2025-01-01 置信度 0.72 TelehealthFirmwareWearable computerComputer scienceHealth care
• Artificial Intelligence and Big Data in Sustainable Entrepreneurship
  Abstract There is an urgent need to transition our economy, society, and culture towards systems and actions that facilitate ecological sustainability. Such radical change requires equally radical transformation of approaches to decision making and resource us…
  openalex Steve J. Bickley, Alison Macintyre, Benno Torgler 2024-01-11 置信度 0.72 SustainabilityFrontierEntrepreneurshipBig dataFace (sociological concept)
• A Review of Artificial Intelligence Applications for Biorefineries and Bioprocessing: From Data-Driven Processes to Optimization Strategies and Real-Time Control
  This paper reviews the integration of artificial intelligence (AI) and machine learning in biorefineries and bioprocessing, with applications in biocatalysis, enzyme optimization, real-time monitoring, and quality assurance. AI contributes to predictive modeli…
  openalex Alex Butean, Iulia Cutean, Rubén Barbero, Juan Enríquez 等 2025-08-12 置信度 0.72 BioprocessComputer scienceBiochemical engineeringProcess engineeringControl (management)
• Mitigating Chatbots AI Data Privacy Violations in the Banking Sector: A Qualitative Grounded Theory Study
  This research study examines the impact of Artificial Intelligence (AI) data poisoning on data privacy violations in AI-enabled banking chatbots, employing a qualitative approach grounded in AI, data privacy, and cybersecurity theories. Through qualitative gro…
  openalex John Giordani 2024-07-01 置信度 0.72 Grounded theoryQualitative researchInformation privacyInternet privacyComputer science
• LEGAL ANALYSIS OF EU ARTIFICIAL INTELLIGENCE ACT (2024): INSIGHTS FROM PERSONAL DATA GOVERNANCE AND HEALTH POLICY
  Background: This study correlates the up-to-date ethical, functional and legal evaluations related to the management and governance of artificial intelligence (AI) under European Union (EU) law, particularly impacting the health data sector and medical standar…
  openalex Anca Parmena Olimid 2024-09-02 置信度 0.72 Corporate governanceData governanceBusinessPublic relationsPolitical science
• Conversational AI with large language models to increase the uptake of clinical guidance
  The rise of large language models (LLMs) and conversational applications, like ChatGPT, prompts Health Technology Assessment (HTA) bodies, such as NICE, to rethink how healthcare professionals access clinical guidance. Integrating LLMs into systems like Retrie…
  openalex Gloria Macia, Alison Liddell, Vincent Doyle 2024-12-01 置信度 0.72 Natural language processingLinguisticsComputer scienceArtificial intelligencePsychology
• AI-Based Helmet Violation Detection for Traffic Management System
  Enhancing road safety globally is imperative, especially given the significant portion of traffic-related fatalities attributed to motorcycle accidents resulting from non-compliance with helmet regulations. Acknowledging the ... | Find, read and cite all the r…
  openalex Yahia Said, Yahya Alassaf, Refka Ghodhbani, Yazan A. Alsariera 等 2024-01-01 置信度 0.72 Computer scienceReal-time computing
• Learning with Generative AI: An Empirical Study of Students in Higher Education
  Generative AI technologies are rapidly permeating higher education as innovative tools that support teaching and learning processes. This study investigates the integration of GenAI tools into academic learning and examines their influence on students’ learnin…
  openalex Golan Carmi 2025-12-16 置信度 0.72 Higher educationPerceptionEmpirical researchPsychologyMathematics education
• AI-based decision support in pediatric dentistry: a comparative study of ChatGPT-5 and gemini advanced.
  BACKGROUND: The alignment of clinical decisions in pediatric dentistry with evidence-based guidelines is crucial for treatment success. The potential of artificial intelligence applications to provide decision support in accordance with the guidelines of the A…
  pubmed Bardakci E, Aydin G, Dogan ME, Dogan MS 2026 Feb 14 置信度 0.82
• Guideline-based, but not error-free: Multilingual risks in AI-powered patient counseling on gallstones.
  Patients increasingly use large language models (LLMs) for health information, yet the guideline concordance and safety of patient-facing outputs-particularly across languages-remain uncertain. We evaluated three widely used LLM platforms (web interfaces) and …
  pubmed Erdem O, Canbak T, Acar A, Ceylan EM 等 2026 Jun 1 置信度 0.82
• Landscape analysis towards data quality and utility labelling in the European Health Data Space.
  The European Health Data Space (EHDS) promotes health data sharing and secondary use across Europe. The QUANTUM project focuses on labelling data quality (DQ), utility, and maturity to support EU-wide standards within this context. This study examines current …
  pubmed Sánchez-García Á, Proietti Mercuri C, Schutte N, Estupiñán-Romero F 等 2026 Mar 14 置信度 0.82
• Toward a Clearer Process for Value Sensitive Artificial Intelligence.
  Design approaches such as Value Sensitive Design (VSD) facilitate the alignment of technology design with societal and ethical values. VSD serves as a proactive and iterative framework for integrating ethical considerations into design, encompassing three inte…
  pubmed Cociancig C, Heuer H 2026 Feb 14 置信度 0.82
• Adolescent and Young Adult Leadership and Engagement in HIV Strategy and Policy Development: Experiences from the UNICEF/WHO/UNAIDS Blueprint Collaborative.
  Adolescents and young adults (AYA) face disproportionately worse outcomes along the HIV prevention and care continuum. Despite global commitments to AYA engagement, AYA remain underrepresented in research, programming, and policy development. We summarize rece…
  pubmed Ho D, Hlatshwako T, Chima KP, Tao Y 等 2026 Feb 14 置信度 0.82
• Symmetry-Sensitive Analysis of Molecular Graph Neural Network Models.
  Graph convolutional neural networks (GCNNs) have emerged as powerful tools for predicting molecular properties in chemistry. However, their black-box nature poses challenges for interpretability, hindering their widespread adoption. In this work, we propose a …
  pubmed Karpov KV, Pikulin IS, Mitrofanov AA, Chasovskikh AA 等 2026 Mar 9 置信度 0.82
• AI-assisted case builder: Making PBL more scalable and adaptable.
  Developing high-quality problem-based learning (PBL) cases remains a significant challenge in medical education. It is resource-intensive and competes with faculty responsibilities in teaching, clinical care, research, and administration. As a result, many ins…
  pubmed Abouzeid E, Zakaria I, Alshobaily M, Shehata MH 等 2026 Feb 13 置信度 0.82
• How threshold customisation affects the performance of a multiclass X-ray AI model for primary care triage: a retrospective study.
  To describe the structured process of threshold optimisation for a commercially available multiclass chest X-ray (CXR) deep learning model, to evaluate its diagnostic performance across different operating thresholds, and to estimate its potential operational …
  pubmed Sim JZT, Lin J, Fong QW, Soon AYQ 等 2026 Feb 12 置信度 0.82
• Rivers under stress: a comprehensive review on pollutant sources, human and ecological impacts, analytical, statistical, and geospatial methods and restoration strategies, for evaluating river water quality in India.
  This study provides a comprehensive national-scale review of river pollution in India, synthesizing evidence from 145 peer-reviewed articles, reports, and policy documents published between 2000 and 2025. Unlike earlier works limited to individual rivers or po…
  pubmed Sridhar D 2026 Feb 13 置信度 0.82
• Microplastics on the frontline: causes, strategies to combat pollution and protect health with advanced bioremediation-a review.
  Microplastic (MP) pollution is a growing global concern with serious implications for ecosystems and human health. The present review provides a comprehensive analysis of the occurrence, mobility, and toxicological impacts of MPs, focusing on their role as vec…
  pubmed Dave S, Hariyani P, Pathak H 2026 置信度 0.82
• WeavePop: a bioinformatics workflow to explore and analyze genomic variants of eukaryotic populations.
  Analyzing genomic variants in large datasets composed of short-read sequencing data is a process that requires multiple steps and computational tools, which makes it a complicated task that is difficult to reproduce across projects and laboratories. To address…
  pubmed Zirión-Martínez C, Magwene PM 2026 Apr 1 置信度 0.82
• Building Ontario's Health AI: A Learning System Approach.
  Artificial intelligence (AI) is advancing rapidly in Ontario's health system, yet adoption remains uneven due to limited governance and system-wide learning structures. This paper examines ten AI governance frameworks against OECD principles and assesses their…
  pubmed Bui VLNT 2026 Feb 12 置信度 0.82
• Do We Have Enough Information? Assessing AI Clinical Decision Support Systems for Implementation in Primary Care.
  This environmental scan examined commercially available AI clinical decision support solutions (AI-CDSS) across three domains: knowledge base, AI methodology, and privacy. Over half of vendors disclosed some information on their knowledge base, yet few demonst…
  pubmed Coderre-Ball A, Ravi Chandran A, Gnanapragasam V, Ataman R 等 2026 Feb 12 置信度 0.82
• From Scaling the Preventive Assessment Tool to a Holistic Personalized Preventive Plan.
  Canada's shift toward preventive, precision medicine is stymied by siloed data, misaligned incentives, and workflow burdens. This study draws on multi-sector key informant interviews and applies an adapted House of Quality method to align divergent priorities …
  pubmed Kipershtein M, Zavar A 2026 Feb 12 置信度 0.82
• Building Bridges: A Multi-Pronged Strategy to Modernize Primary Care Clinics and Advance Interoperable Healthcare.
  Primary care clinics face a persistent administrative burden, fragmented workflows, and limited interoperability. We present a clinic-level Four-Pillar Vision-Empowered, Connected, Streamlined, Supported-as future-state characteristics of a modern clinic. Usin…
  pubmed Ling S, Chandrasena C, Zavar A 2026 Feb 12 置信度 0.82
• Mining the Hidden Pharmacopeia: Fungal Endophytes, Natural Products, and the Rise of AI-Driven Drug Discovery.
  Emerging from millions of years of evolutionary optimization, Natural products (NPs) remain unique, unparalleled sources of bioactive scaffolds. Unlike synthetic molecules engineered around single therapeutic targets, NPs often exhibit multi-target, system-lev…
  pubmed Al Shami R, Mousa WK 2026 Jan 29 置信度 0.82
• Exploring the Balance Between Artificial Intelligence and Human Expertise in Shaping Breast Reconstruction Outcomes: A Comparative Reflection Study.
  Background/Objectives : Artificial intelligence (AI) has shown potential in patient education and integration into clinical decision support systems. However, its performance in counseling patients on breast reconstruction currently remains underexplored. This…
  pubmed Pop IC, Muntean MV, Gata VA, Ilies RA 等 2026 Feb 2 置信度 0.82
• YOLO-WL: A Lightweight and Efficient Framework for UAV-Based Wildlife Detection.
  Accurate wildlife detection in Unmanned Aerial Vehicle (UAV)-captured imagery is crucial for biodiversity conservation, yet it remains challenging due to the visual similarity of species, environmental disturbances, and the small size of target animals. To add…
  pubmed Liu C, Wang P, Gong Y, Cheng A 2026 Jan 24 置信度 0.82
• Transforming Relational Care Values in AI-Mediated Healthcare: A Text Mining Analysis of Patient Narrative.
  Background : This study examined how patients and caregivers perceive and experience AI-based care technologies through text mining analysis. The goal was to identify major themes, sentiments, and value-oriented interpretations embedded in their narratives and…
  pubmed Lee SY 2026 Feb 2 置信度 0.82
• Ethical Responsibility in Medical AI: A Semi-Systematic Thematic Review and Multilevel Governance Model.
  Background : Artificial intelligence (AI) is transforming medical practice, enhancing diagnostic accuracy, personalisation, and clinical efficiency. However, this transition raises complex ethical challenges related to transparency, accountability, fairness, a…
  pubmed Martinho D, Sobreiro P, Domingues A, Martinho F 等 2026 Jan 23 置信度 0.82
• Discrepancies Between MDT Recommendations and AI-Generated Decisions in Gynecologic Oncology: A Retrospective Comparative Cohort Study.
  Background: Multidisciplinary tumor boards (MDTs) remain the foundation of gynecologic cancer management, yet increasing diagnostic complexity and rapidly evolving molecular classifications have intensified interest in artificial intelligence (AI) as a potenti…
  pubmed Pergialiotis V, Thomakos N, Lygizos V, Fanaki M 等 2026 Jan 30 置信度 0.82
• Emerging Endorobotic and AI Technologies in Colorectal Cancer Screening: A Review of Design, Validation, and Translational Pathways.
  Advances in artificial intelligence (AI), soft robotics, and miniaturized imaging technologies have accelerated the development of endorobotic platforms that aim to enhance detection accuracy and improve patient experience. In this narrative review, we synthes…
  pubmed Al Zaabi A, Al Maashri A, Bourdoucen H, A Al-Busafi S 2026 Feb 1 置信度 0.82
• An Intelligent Hybrid Ensemble Model for Early Detection of Breast Cancer in Multidisciplinary Healthcare Systems.
  Background/Objectives: In the modern healthcare landscape, breast cancer remains one of the most prevalent malignancies and a leading cause of mortality among women worldwide. Early and accurate prediction of breast cancer plays a pivotal role in effective dia…
  pubmed Iftikhar H, Hashem AF, Qureshi M, Rodrigues PC 等 2026 Jan 23 置信度 0.82
• Development and validation of a competency-based evaluation framework for clinical medical trainees in the era of artificial intelligence: a mixed-methods study in China.
  BACKGROUND: The integration of artificial intelligence (AI) into clinical practice is reshaping the competency requirements for medical trainees. Yet, validated evaluation instruments aligned with outcome-based education (OBE) frameworks remain scarce. METHODS…
  pubmed Li F, Zhao H, Huang Q, Zhang C 等 2026 Feb 12 置信度 0.82
• Assessing the accuracy, reliability, quality, and readability of artificial intelligence chatbots in patient education: insights from zirconia crowns.
  BACKGROUND: This study aims to conduct a comparative evaluation of the accuracy, reliability, quality, and readability of chatbot-generated responses from five widely used artificial intelligence (AI) chatbots when addressing frequently asked questions (FAQs) …
  pubmed Acar NK, Sengul F, Bardakci E, Celikel P 2026 Feb 12 置信度 0.82
• The patient matters: a roundtable discussion on pathology in the era of digitization and AI.
  Digital pathology (DP) and artificial intelligence (AI) promise faster, more accurate cancer diagnostics, yet patient views remain undocumented. We explored perspectives of patient representatives on DP and AI implementation. A two-hour moderated roundtable wi…
  pubmed Deman F, Lauwers H, Broeckx G, Salgado R 等 2026 Feb 12 置信度 0.82
• A scoping review of systematic reviews on artificial intelligence in orthopaedics.
  BackgroundArtificial intelligence (AI) has rapidly gained momentum in the field of orthopaedics, with an increasing number of systematic reviews and meta-analyses providing synthesised evidence. However, most studies have focused on individual subspecialties o…
  pubmed Koay WZ, Chang SW, Ahmad RE, Kamarul T 2026 Jan-Apr 置信度 0.82
• Using AI to Train Future Clinicians in Depression Assessment: Feasibility Study.
  Depression is a major global health care challenge, causing significant individual distress but also contributing to a substantial global burden. Timely and accurate diagnosis is crucial. To help future clinicians develop these essential skills, we trained a g…
  pubmed Holderried F, Sonanini A, Philipps A, Stegemann-Philipps C 等 2026 Feb 12 置信度 0.82
• Fine-Grained Assignment of Unknown Marine eDNA Sequences Using Neural Networks.
  Environmental DNA (eDNA) metabarcoding is an innovative tool that is transforming ecological research. It offers a simple and effective method for simultaneously detecting numerous species across a wide range of environments. The method relies on assigning DNA…
  pubmed Villon S, Mangeas M, Berteaux-Lecellier V, Vigliola L 等 2026 Feb 5 置信度 0.82
• Artificial Intelligence for Exosomal Biomarker Discovery for Cardiovascular Diseases: Multi-Omics Integration, Reproducibility, and Translational Prospects.
  Exosomes and other extracellular vesicles (EVs) carry microRNAs, proteins, and lipids that reflect cardiovascular pathophysiology and can enable minimally invasive biomarker discovery. However, EV datasets are highly dimensional and heterogeneous, strongly inf…
  pubmed Dinc R, Ardic N 2026 Feb 5 置信度 0.82
• MaGIC-OT: an AI-guided optical tweezers platform for autonomous single-cell isolation in microfluidic devices.
  Automating the isolation of rare cells such as circulating tumour cells (CTCs) within crowded microfluidic environments remains a bottleneck in liquid biopsy workflows. Optical tweezers offer contact-free, selective manipulation but traditionally rely on exper…
  pubmed Cieslik JP, Xia X, Salehi-Reyhani A 2026 Apr 22 置信度 0.82
• Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare.
  Recent advances in multimodal wearable biosensing enable continuous, noninvasive or minimally invasive monitoring of physical, physiological, and biochemical states in daily life. In parallel, multidomain AI architectures are increasingly capable of fusing het…
  pubmed Liu C, Fan H, Kim M, Zhou T 等 2026 May 置信度 0.82 Wearable computerComputer scienceContext (archaeology)ModalitiesHealth care
• Mind Mapping in Orthodontic Education: A Two-Cohort Action-Research Study Exploring the Impact of Feedback on Student Learning and Perception.
  Mind mapping is a visual learning strategy that fosters critical thinking in health professions education, yet it remains underexplored in orthodontic curricula. With varying class sizes, increasing reliance on technology, and fragmented delivery of core ortho…
  pubmed Agou SH 2026 Aug 置信度 0.82
• Neural Networks as Entropic Systems: Applications in Digital Pathology.
  Deep learning systems in digital pathology are widely regarded as opaque, limiting clinical trust and interpretability. We present a framework for empirically characterizing training-time learning dynamics in neural networks by directly measuring activation st…
  pubmed Leyva A, Niazi MKK 2026 Feb 2 置信度 0.82
• AutoMorphoTrack: A modular framework for quantitative analysis of organelle morphology, motility, and interactions at single-cell resolution.
  Quantitative imaging of organelle dynamics provides crucial insights into cellular function, state, and organization; however, existing analysis workflows often require advanced coding expertise and multiple software tools. AutoMorphoTrack is an open-source Py…
  pubmed Bayati A, Schumacher JG, Chen X 2026 Feb 2 置信度 0.82
• Ethical and Regulatory Frameworks for Artificial Intelligence in Clinical Research: A European Perspective on the Artificial Intelligence Act for Ethics Committees and Researchers.
  The rapid integration of artificial intelligence (AI) into clinical research is transforming the landscape of biomedical innovation, influencing numerous phases of research, with critical ethical and legal implications. Regulation (EU) 2024/1689, commonly refe…
  pubmed Barucci A, Colcelli V, De Masi S, Falconi M 等 2026 置信度 0.82
• MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback.
  Automatic question generation (QG) is essential for AI and NLP, particularly in intelligent tutoring, dialogue systems, and fact verification. Generating multiple-choice questions (MCQG) for professional exams, like the United States Medical Licensing Examinat…
  pubmed Yao Z, Parashar A, Zhou H, Jang WS 等 2025 Apr 置信度 0.82
• The strategic trajectory of artificial intelligence in Qatar's healthcare sector: a model for UN Sustainable Development Goal 9.
  This narrative review is first of its kind to strategically position AI and healthcare in the Qatari state under the broad framework of QNV-2030. The review highlights Qatar's forward-looking digital infrastructure upon which its AI initiatives are being built…
  pubmed Ismail MA 2026 置信度 0.82
• Ambient Listening Devices as a Feedback Tool in the Simulated Learning Environment.
  The use of artificial intelligence (AI) in medical education is expanding, yet evidence supporting its role in delivering formative feedback during simulated clinical encounters remains limited. Ambient listening (AL) technology has demonstrated utility for cl…
  pubmed Snedegar R, Unger K, Craig JF, Kozlowski L 等 2026 Feb 置信度 0.82
• Artificial intelligence-augmented small bowel capsule endoscopy for coeliac disease: a literature review on accuracy, workflow, and safety.
  Coeliac disease (CeD) is a common, underdiagnosed enteropathy with rising incidence and diagnostic delay. This literature review synthesises advances in small bowel capsule endoscopy (SBCE) and artificial intelligence (AI) for SBCE, and outlines implications f…
  pubmed Dhali A, Maity R, Biswas J, Hann A 等 2026 置信度 0.82