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• AI-assisted detector design for the EIC (AID(2)E)
  Abstract Artificial Intelligence is poised to transform the design of complex, large-scale detectors like ePIC at the future Electron Ion Collider. Featuring a central detector with additional detecting systems in the far forward and far backward regions, the …
  openalex M. Diefenthaler, C. Fanelli, Lino Oscar Gerlach, W. Guan 等 2024-07-01 置信度 0.72 DetectorScalabilityWorkflowUsabilityComputer science
• Enhancing Trust Through Standards: A Comparative Risk-Impact Framework for Aligning ISO AI Standards with Global Ethical and Regulatory Contexts
  As artificial intelligence (AI) continues to reshape economies and societies, building trust in these systems—by addressing bias, opacity, and accountability—remains a global challenge. ISO standards such as ISO/IEC 24027 and 24368 aim to embed fairness, expla…
  openalex Sridharan Sankaran 2025-08-07 置信度 0.72 Corporate governanceSoftware deploymentTrustworthinessBusinessProcess management
• Developing the Benchmark: Establishing a Gold Standard for the Evaluation of AI Caries Diagnostics
  Background/Objectives: The aim of this study was to establish a histology-based gold standard for the evaluation of artificial intelligence (AI)-based caries detection systems on proximal surfaces in bitewing images. Methods: Extracted human teeth were used to…
  openalex Julian Boldt, M. Schuster, Gabriel Krastl, Marc Schmitter 等 2024-06-29 置信度 0.72 MedicineGold standard (test)Benchmark (surveying)Medical physicsInternal medicine
• From Industry 4.0 to 5.0: leveraging AI and IoT for sustainable and human-centric operations
  Purpose This study investigates the transition from Industry 4.0 to Industry 5.0, focusing on the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) to support human-centric, sustainable and resilient productio…
  openalex Muhammad Hammad, Syed Radzi Rahamaddulla, Puteri Fadzline Muhamad Tamyez, Muhammad Ashraf Fauzi 2025-09-04 置信度 0.72 Internet of ThingsComputer scienceIndustry 4.0Data scienceWorld Wide Web
• From Drops to Decisions: AI/ML-Driven Biofluidics for Clinical Diagnostics and Healthcare Intelligence
  openalex Mayuri Tushar Deshmukh, Yogesh Thakre, Wani H. Bisen, K. Sankar 等 2025-12-23 置信度 0.72 ChemistryHealth careMedical physicsMedical emergencyMEDLINE
• Evaluation and mitigation of the limitations of large language models in clinical decision-making
  Clinical decision-making is one of the most impactful parts of a physician's responsibilities and stands to benefit greatly from artificial intelligence solutions and large language models (LLMs) in particular. However, while LLMs have achieved excellent perfo…
  openalex Paul Hager, Friederike Jungmann, Robbie Holland, Kunal Bhagat 等 2024-07-04 置信度 0.72 Clinical decision makingComputer scienceIntensive care medicineRisk analysis (engineering)Medicine
• Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment
  One of the most important tasks in quantitative investment research is mining new alphas (effective trading signals or factors). Traditional alpha mining methods, either hand-crafted factor synthesizing or algorithmic factor mining (e.g., search with genetic p…
  openalex Saizhuo Wang, Hang Yuan, Leon Zhou, Lionel M. Ni 等 2023-07-31 置信度 0.72 Alpha (finance)HeuristicComputer scienceFactor (programming language)Genetic programming
• The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships
  As conversational AI systems increasingly permeate the socio-emotional realms of human life, they bring both benefits and risks to individuals and society. Despite extensive research on detecting and categorizing harms in AI systems, less is known about the ha…
  openalex Zhang, Renwen, Li Han, Meng Han, Jinyuan Zhan 等 2024-10-26 置信度 0.72 Great RiftTaxonomy (biology)Interpersonal relationshipPsychologyComputer science
• Group interaction patterns in generative AI ‐supported collaborative problem solving: Network analysis of the interactions among students and a GAI chatbot
  Abstract Collaborative problem solving (CPS) is an important skill enabling students to co‐construct knowledge and tackle complex problems through group interactions. While the importance of group interactions in CPS is well recognized, it is unclear how the e…
  openalex Shihui Feng 2025-06-27 置信度 0.72 ChatbotGroup (periodic table)Generative grammarComputer scienceGenerative model
• An overview of artificial intelligence based applications for assisting digital data acquisition and implant planning procedures
  OBJECTIVES: To provide an overview of the current artificial intelligence (AI) based applications for assisting digital data acquisition and implant planning procedures. OVERVIEW: A review of the main AI-based applications integrated into digital data acquisit…
  openalex Marta Revilla‐León, Miguel Gómez‐Polo, Irena Sailer, John C. Kois 等 2024-05-17 置信度 0.72 Computer scienceArtificial intelligenceCone beam computed tomographySegmentationComputer vision
• Computational Hermeneutics: Evaluating Generative AI as a Cultural Technology
  openalex Cody Kommers, Ruth Ahnert, Maria Antoniak, Emmanouil Benetos 等 2025-01-01 置信度 0.72 HermeneuticsGenerative grammarEpistemologySociologyPhilosophy
• Leveraging AI for sustainable public procurement: opportunities and challenges
  Even though sustainable public procurement is critical to achieving global climate goals, most public organizations struggle to implement it. While artificial intelligence holds promise for addressing these challenges, its use in the public sector remains limi…
  openalex Marta Andhov, Nicole Darnall, Alexandra Andhov 2025-08-29 置信度 0.72 ProcurementSustainabilityBusinessPublic sectorTransparency (behavior)
• AI-integrated network for RNA complex structure and dynamic prediction
  RNA complexes are essential components in many cellular processes. The functions of these complexes are linked to their tertiary structures, which are shaped by detailed interface information, such as binding sites, interface contact, and dynamic conformationa…
  openalex Haoquan Liu, Zhuo Chen, Jiaming Gao, Chengwei Zeng 等 2024-11-05 置信度 0.72 RNAComputer scienceComplex networkComplex systemInterface (matter)
• AI-driven education: a comparative study on ChatGPT and Bard in supply chain management contexts
  This study conducts a comparative analysis of two prominent generative artificial intelligence (GAI) tools, ChatGPT and Bard, specifically in the context of supply chain management. Using a dataset of 150 certified supply chain professional questions, the mode…
  openalex Raghu Raman, Aswathy Sreenivasan, M. Suresh, Angappa Gunasekaran 等 2024-10-18 置信度 0.72 Supply chain managementSupply chainBusinessProcess managementKnowledge management
• Robotics in Arthroplasty: Historical Progression, Contemporary Applications, and Future Horizons With Artificial Intelligence (AI) Integration
  Robotic technology is increasingly utilized in surgical procedures to enhance precision, particularly in tasks demanding delicate maneuvers beyond human capabilities. Robotic orthopedic surgery emerges as a dynamic and compelling technology reshaping the lands…
  openalex Jagbir Singh, P. R. Patel 2024-08-23 置信度 0.72 RoboticsArtificial intelligenceMedicineOrthopedic surgeryField (mathematics)
• ECONOMIC AND GOVERNANCE IMPLICATIONS OF AI-DRIVEN MARKETING SYSTEMS: A MIXED-METHODS STUDY ON PERFORMANCE, TRANSPARENCY, AND POLICY ALIGNMENT
  This proposal examines the two aspects of AI marketing adoption, economic performance and ethical governance, through a mixed-methods study design. Quantitative methods will assess the effect of AI on efficiency in budgeting, labor productivity, and marketing …
  openalex Prof. Dr. Satya Subrahmanyam Roger Halabi, Roger Halabi, Prof. Dr. Satya Subrahmanyam 2025-08-25 置信度 0.72 BusinessMarketingCorporate governanceConstruct (python library)Marketing management
• A SEM–ANN analysis to examine impact of artificial intelligence technologies on sustainable performance of SMEs
  This study investigates the impact of Artificial Intelligence (AI) adoption on the sustainable performance of small and medium-sized enterprises (SMEs). Employing a hybrid quantitative approach, this research combines Partial Least Squares Structural Equation …
  openalex Raheem Bux Soomro, Waleed Mugahed Al-Rahmi, Nisar Ahmed Dahri, Latifah Almuqren 等 2025-02-13 置信度 0.72 Computer scienceArtificial intelligenceBusiness
• Intelligent robotic positioning through AI-enhanced metrology: Integration of standards, sensor fusion, and adaptive calibration
  Robotic positioning is a cornerstone of high-precision automation, yet conventional techniques often struggle with environmental variability, sensor drift, and dynamic real-time demands. This review critically analyses the evolving integration of Artificial In…
  openalex Ihtisham Ul Haq, Domenico Luca Carnì, Francesco Lamonaca 2025-09-29 置信度 0.72 MetrologyArtificial intelligenceComputer scienceControl engineeringCalibration
• Advances in Mathematical Models for AI-Based News Analytics
  The exponential growth of digital news sources presents a critical challenge in efficiently processing and analyzing vast datasets to derive actionable insights. This paper introduces a GPT-based news analytics system that addresses this issue using advanced m…
  openalex Fahim Sufi 2024-11-27 置信度 0.72 AnalyticsData scienceComputer science
• Artificial Intelligence and Smart Technologies in Safety Management: A Comprehensive Analysis Across Multiple Industries
  The integration of Artificial Intelligence (AI) and smart technologies into safety management is a pivotal aspect of the Fourth Industrial Revolution or Industry 4.0. This study conducts a systematic literature review to identify and analyze how AI and smart t…
  openalex Jiyoung Park, Dongheon Kang 2024-12-20 置信度 0.72 BusinessIndustry 4.0EngineeringComputer scienceData mining
• Enhancing professional development and training through AI for personalized learning: a framework to engaging learners
  This paper explores the transformative potential of AI-driven personalized learning in enhancing professional development and training programs. As the workforce landscape rapidly changes, the demand for tailored and engaging learning experiences has become in…
  openalex Zoel-Fazlee Omar, Mior Harris Mior Harun, Nor Irvoni Mohd Ishar, Nur Arfah Mustapha 等 2023-06-01 置信度 0.72 Personalized learningProfessional developmentTraining (meteorology)PsychologyMedical education
• Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions
  The deployment of large language models (LLMs) raises concerns regarding their cultural misalignment and potential ramifications on individuals and societies with diverse cultural backgrounds. While the discourse has focused mainly on political and social bias…
  openalex Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip Treleaven 等 2023-08-25 置信度 0.72 Hofstede's cultural dimensions theoryExplanatory powerDimension (graph theory)Cultural diversitySociocultural evolution
• Loss in AI Translation
  with LSTM and Transformer ModelsThis research paper investigates the potential pitfalls and limitations of Artificial Intelligence (AI) translation for Jain scriptures, as well as how different AI models perform on Hindi to English translation tasks, and how t…
  openalex Arham Doshi 2024-08-10 置信度 0.72 Computer scienceHindiArtificial intelligenceContext (archaeology)Translation (biology)
• Securing the Internet of Things in Artificial Intelligence Era: A Comprehensive Survey
  The Internet of Things (IoT) has revolutionized various domains, enabling interconnected devices to communicate and exchange data. The integration of Artificial Intelligence (AI) in IoT systems further enhances their capabilities and potential benefits. Unfort…
  openalex Mamoona Humayun, Noshina Tariq, Majed Alfayad, Muhammad Zakwan 等 2024-01-01 置信度 0.72 Computer scienceThe InternetInternet privacyWorld Wide WebData science
• From Agents to Governance: Essential AI Skills for Clinicians in the Large Language Model Era
  Large language models are rapidly transitioning from pilot schemes to routine clinical practice. This creates an urgent need for clinicians to develop the necessary skills to strike the right balance between seizing opportunities and taking accountability. We …
  openalex Weiping Cao, Qing Zhang, Jialin Liu, Siru Liu 2026-01-14 置信度 0.72 AccountabilityAdaptation (eye)Software deploymentLiabilityComputer science
• “You Always Get an Answer”: Analyzing Users’ Interaction with AI-Generated Personas Given Unanswerable Questions and Risk of Hallucination
  We investigated the presence and acceptance of hallucinations (i.e., accidental misinformation) of an AI-generated persona system that leverages large language models for persona creation from survey data in a 54-user within-subjects experiment. After interact…
  openalex Ilkka Kaate, Joni Salminen, Soon-Gyo Jung, Trang Xuan 等 2025-03-19 置信度 0.72 PersonaComputer sciencePsychologyInternet privacyArtificial intelligence
• Generative AI platforms as institutional catalysts of digital entrepreneurship: Enablement, dependence & power dynamics
  This study theorizes how recent generative AI (Gen AI) platforms operate as institutional catalysts of platform-dependent entrepreneurship (PDE). Integrating institutional theory, the external enablement framework, and innovation platform theory, we propose an…
  openalex Kisito F. Nzembayie, David Urbano 2025-09-22 置信度 0.72 Corporate governanceGenerative grammarEntrepreneurshipEnthusiasmEconomics
• Bridging Sequence-Structure Alignment in RNA Foundation Models
  The alignment between RNA sequences and structures in foundation models (FMs) has yet to be thoroughly investigated. Existing FMs have struggled to establish sequence-structure alignment, hindering the seamless flow of genomic information between RNA sequences…
  openalex Heng Yang, Renzhi Chen, Ke Li 2025-04-11 置信度 0.72 Bridging (networking)Foundation (evidence)Sequence (biology)Computational biologyRNA
• Explainable AI for Sustainability: Bridging Trust, Ethics, and Accountability
  Artificial intelligence (AI) has shown immense potential for addressing sustainability challenges, from optimizing energy systems to advancing precision agriculture.However, the opacity of many AI systems undermines trust, accountability, and ethical alignment…
  openalex Praveen Kumar Myakala, Anil Kumar Jonnalagadda 2025-01-01 置信度 0.72 Bridging (networking)AccountabilitySustainabilityEngineering ethicsEnvironmental ethics
• Deep learning-based image classification for integrating pathology and radiology in AI-assisted medical imaging
  The integration of pathology and radiology in medical imaging has emerged as a critical need for advancing diagnostic accuracy and improving clinical workflows. Current AI-driven approaches for medical image analysis, despite significant progress, face several…
  openalex Chafen Lu, Jiayin Zhang, Ren Ping Liu 2025-07-25 置信度 0.72 InterpretabilityWorkflowComputer scienceArtificial intelligenceMachine learning
• Enhancing the Robustness of AI-Generated Text Detectors: A Survey
  In recent years, AI-generated text (AIGT) detection has attracted increasing attention, and some detectors demonstrate high accuracy in benchmark settings. However, the complexity and diversity of AIGT and counter-detection methods in real-world applications p…
  openalex Xin Liu, Yang Li, Kan Li 2025-06-30 置信度 0.72 Robustness (evolution)DetectorComputer scienceChemistryTelecommunications
• Neuro-symbolic synergy in education: a survey of LLM-knowledge graph integration for explainable reasoning and emotion-aware student support
  Abstract This article presents a structured survey of recent approaches integrating Large Language Models (LLMs) and Knowledge Graphs (KGs) in education, with a dual focus on explainable reasoning and emotion-aware student support. The objective is to assess h…
  openalex Nour El Houda Ben Chaabene, H. Hammami 2026-01-20 置信度 0.72 Computer scienceAdaptation (eye)Automated reasoningTransparency (behavior)Metacognition
• AI-Driven Transcriptome Prediction in Human Pathology: From Molecular Insights to Clinical Applications
  Gene expression regulation underpins cellular function and disease progression, yet its complexity and the limitations of conventional detection methods hinder clinical translation. In this review, we define "predict" as the AI-driven inference of gene express…
  openalex Xiao‐Ya Chen, Huinan Xu, Shengjie Yu, Hu Wan 等 2025-06-04 置信度 0.72 Machine learningInterpretabilityInferenceArtificial intelligenceData science
• Artificial intelligence, ChatGPT, and other large language models for social determinants of health: Current state and future directions
  This perspective highlights the importance of addressing social determinants of health (SDOH) in patient health outcomes and health inequity, a global problem exacerbated by the COVID-19 pandemic. We provide a broad discussion on current developments in digita…
  openalex Jasmine Chiat Ling Ong, Jun Jie Benjamin Seng, Jeren Zheng Feng Law, Lian Leng Low 等 2024-01-01 置信度 0.72 DisinformationTransformative learningSocial determinants of healthPublic relationsHealth care
• Alirector: Alignment-Enhanced Chinese Grammatical Error Corrector
  Chinese grammatical error correction (CGEC) faces serious overcorrection challenges when employing autoregressive generative models such as sequence-to-sequence (Seq2Seq) models and decoder-only large language models (LLMs).While previous methods aim to addres…
  openalex Haihui Yang, Xiaojun Quan 2024-01-01 置信度 0.72 Computer scienceArtificial intelligence
• AI and early diagnostics: mapping fetal facial expressions through development, evolution, and 4D ultrasound
  The development of facial musculature and expressions in the human fetus represents a critical intersection of developmental biology, neurology, and evolutionary anthropology, offering insights into early neurological and social development. Fetal facial expre…
  openalex Wiku Andonotopo, Muhammad Adrianes Bachnas, Julian Dewantiningrum, Mochammad Besari Adi Pramono 等 2025-02-13 置信度 0.72 MedicinePathology
• AI-AUGMENTED RISK DETECTION IN CYBERSECURITY COMPLIANCE: A GRC-BASED EVALUATION IN HEALTHCARE AND FINANCIAL SYSTEMS
  This study provides a comprehensive review of recent advancements in artificial intelligence (AI) applied to regulatory automation, particularly in highly regulated sectors such as healthcare and finance. Drawing upon a synthesis of contemporary literature and…
  openalex Mahmudul Hasan, Md. Omar Faruq 2025-01-01 置信度 0.72 Compliance (psychology)Computer securityHealth careBusinessComputer science
• AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection
  Training fall detection systems is challenging due to the scarcity of real-world fall data, particularly from elderly individuals. To address this, we explore the potential of Large Language Models (LLMs) for generating synthetic fall data. This study evaluate…
  openalex Sana Alamgeer, Yasine Souissi, Anne H. H. Ngu 2025-08-19 置信度 0.72 Computer scienceSynthetic dataArtificial intelligenceWearable computerRepresentation (politics)
• Leveraging AI and TRIZ for sustainable innovation in advanced manufacturing
  Artificial intelligence (AI) is an emerging technology that has been widely used in the field of manufacturing. In this paper, we explore the integration of AI in sustainable manufacturing using TRIZ S-curve analysis and insights from a Delphi survey of indust…
  openalex Muhammad Saqib Iqbal, Zulhasni Abdul Rahim, Qudrattullah Omerkhel, Hamza Iftikhar 等 2025-06-02 置信度 0.72 TRIZManufacturing engineeringEngineeringEngineering managementKnowledge management
• ClinVec: Unified Embeddings of Clinical Codes Enable Knowledge-Grounded AI in Medicine
  Integrating structured clinical knowledge into artificial intelligence (AI) models remains a major challenge. Medical codes primarily reflect administrative workflows rather than clinical reason ing, limiting AI models’ ability to capture true clinical relatio…
  preprints Ruth Johnson, Uri Gottlieb, Galit Shaham, Lihi Eisen 等 2024 置信度 0.74 VocabularyGeneralizability theoryComputer scienceHealth careArtificial intelligence
• Designing an AI-Supported Framework for Literary Text Adaptation in Primary Classrooms
  Background/Objectives: This paper introduces a pedagogically grounded framework for transforming canonical literary texts in primary education through generative AI. Guided by multiliteracies theory, Vygotskian pedagogy, and epistemic justice, the system aims …
  openalex Savvas A. Chatzichristofis, Alexandros Tsopozidis, Avgousta Kyriakidou-Zacharoudiou, Salomi Evripidou 等 2025-07-08 置信度 0.72 Adaptation (eye)Primary (astronomy)Computer sciencePsychologyMultimedia
• Systematic review of cost effectiveness and budget impact of artificial intelligence in healthcare
  This systematic review examines the cost-effectiveness, utility, and budget impact of clinical artificial intelligence (AI) interventions across diverse healthcare settings. Nineteen studies spanning oncology, cardiology, ophthalmology, and infectious diseases…
  openalex Rabie Adel El Arab, Omayma Abdulaziz Al Moosa 2025-08-26 置信度 0.72 Psychological interventionHealth careEquity (law)Context (archaeology)Cost effectiveness
• BUPTCMCC-6G-DataAI+: a generative channel dataset for 6G AI air-interface research
  openalex Li Yu, Jianhua Zhang, Shuangfeng Han, Tao Jiang 2025-07-22 置信度 0.72 Interface (matter)Air interfaceChannel (broadcasting)Generative grammarComputer science
• Deep ASI Literacy: Educating for Alignment with Artificial Super Intelligent Systems
  Abstract Artificial intelligence companies and researchers are currently working to create Artificial Superintelligence (ASI): AI systems that significantly exceed human problem‐solving speed, power, and precision across the full range of human solvable proble…
  openalex Nicolas Tanchuk 2025-06-08 置信度 0.72 LiteracyMathematics educationArtificial intelligenceComputer sciencePedagogy
• Screening Performance and Implementation Determinants of an AI-Assisted Visual Inspection application for Cervical Cancer Screening in Rwanda
  Abstract Background: Cervical cancer remains a leading cause of preventable cancer death in low-and middle-income countries, where visual inspection with acetic acid (VIA) is widely used but highly dependent on provider expertise. Artificial intelligence (AI) …
  preprints 2026 置信度 0.74
• AI-Enabled Chatbot Interventions on Health Outcomes among People Living with HIV: A framework-guided Systematic Review
  Abstract Background Artificial intelligence (AI)–enabled chatbots are increasingly proposed as scalable tools to support linkage to HIV care, ART treatment adherence, and mental health among people living with HIV (PLWH). However, it remains unclear whether ex…
  preprints 2026 置信度 0.74
• Advancements in Multimodal Foundation Models for Healthcare: An In-Depth Review and Future Outlook
  Medical multimodal foundation models (MMFMs) have become a central element of medical artificial intelligence, supporting progress in clinical workflows like diagnosis, report generation, and multimodal reasoning. However, existing surveys face issues with qui…
  preprints 2026 置信度 0.74
• SORT-AI: A Structural Safety and Reliability Framework for Advanced AI Systems with Retrieval-Augmented Generation as a Diagnostic Testbed
  Large language models and related generative AI systems increasingly operate in safety-critical and high-impact settings, where reliability, alignment, and robustness under distribution shift are central concerns. While retrieval-augmented generation (RAG) has…
  preprints 2025 置信度 0.74
• TriEthix: a Triadic Benchmark for Ethical Alignment in Foundation Models
  Abstract As AI systems grow more capable and autonomous, their alignment with human ethical values becomes increasingly critical. We present TriEthix , a novel evaluation framework that systematically benchmarks large language models (LLMs) across three founda…
  preprints 2025 置信度 0.74
• Thinking Beyond Today and Tomorrow: A Global Review of How E-Solutions Enhance Graduate Sustainable Employability in Multicultural University Settings to Advance SDG 8 Amid Labour-Market Dynamics
  Introduction: This systematic literature review examines how university e-solutions enhance graduate sustainable employability within multicultural university settings in response to evolving global labour-market demands and the objectives of the United Nation…
  preprints 2026 置信度 0.74
• Grounding Health AI: Architecture and Evaluation of a Domain-Expert Metabolic Health Agent
  General-purpose language models generate fluent health reports that can fabricate derived clinical met-rics. In an illustrative comparison on identical two-week CGM and meal data, leading foundation models produced reports with invented MAGE values, inflated m…
  preprints 2026 置信度 0.74
• AI-Enabled Framework for Program and Course Design in Higher Education
  Background: Artificial intelligence is reshaping higher education, yet most institutions still rely on ad-hoc experiments rather than a holistic, evidence-based strategy for curriculum innovation. Purpose: This study develops and proposes a comprehensive frame…
  preprints 2025 置信度 0.74
• Will Foundation-Model AI Displace Human-Led Psychotherapeutic Practice?
  Clinical psychology, particularly in its therapeutic form, is undergoing a paradigm shift as foundation models in Artificial Intelligence (AI) systematically demonstrate the ability to generalize across cognitive domains and deliver clinically meaningful inter…
  preprints 2026 置信度 0.74
• AlignInsight: A Three-Layer Framework for Detecting Deceptive Alignment and Evaluation Awareness in Healthcare AI Systems
  ABSTRACT Importance Emerging evidence suggests healthcare AI systems may exhibit deceptive alignment (appearing safe during validation while optimizing for misaligned objectives in deployment) and evaluation awareness (detecting and adapting behavior during au…
  preprints 2026 置信度 0.74
• Integrated Quality Management Model for Teaching Factory in the Era of Industrial Revolution 4.0 : A Systematic Literature Review
  Abstract Aim This systematic literature review synthesizes research on quality management models for Teaching Factories (TeFa) in the Industrial Revolution 4.0 (IR 4.0) era, aiming to identify core components and technological enablers for an integrated model …
  preprints 2026 置信度 0.74
• Harm-Conditioned Computational Friction as a Diagnostic of Alignment Robustness: A Critical Review and Evaluation Framework
  Abstract Robust alignment requires that AI models maintain safety-relevant behavior under distribution shift, adversarial prompting, and optimization pressure. Current evaluation methods often rely on surface compliance metrics—such as refusal rates or policy-…
  preprints 2025 置信度 0.74
• Aṇubuddhi: A Multi-Agent AI System for Designing and Simulating Quantum Optics Experiments
  We present Aṇubuddhi, a multi-agent AI system that designs and simulates quantum optics experiments from natural language prompts without requiring specialized programming knowledge. The system composes optical layouts by arranging components from a three-tier…
  preprints 2025 置信度 0.74
• Transformation of Large Language Models: A State of Art
  This paper presents a comprehensive cross-era analysis of the algorithmic evolution of Large Language Models (LLMs) through four developmental epochs: Before Transformer (pre-2017), Transformer (post-2017), Instruction-tuned \ Open-source LLMs, and Multimodal …
  preprints 2026 置信度 0.74
• Hierarchical Reconciliation of Fifty-One Years of Highway–Rail Grade Crossing Data with Fuzzy and AI Methods
  Highway–rail grade crossing (HRGC) safety research relies on federal incident and inventory datasets that span multiple decades. However, inconsistencies in geographic identifiers and incomplete reconstruction of crossing denominators can distort exposure-base…
  preprints 2026 置信度 0.74
• Notebook-based alignment of human and agentic reasoning in single-cell biology
  Agentic AI is increasingly deployed on complex problems, often using chain-of-thought prompting to ground predictions in stepwise reasoning. In biomedical research, assistive agents could make this reasoning accessible to human scientists: for example, interme…
  preprints 2025 置信度 0.74
• Ten Tips for AI‑Assisted Key Feature Problems: A Validity‑Informed Guide for Medical Education
  Generative artificial intelligence (AI) can augment educators’ capacity to design high-quality Key Feature Problems (KFPs) for valid assessment of clinical reasoning and decision-making. This practice-oriented guide presents ten evidence-informed tips for usin…
  preprints 2025 置信度 0.74
• Educational AI: Automated Computational Thinking Assessment from Visual Programming Artifacts
  This paper introduces an enhanced version of Dr.Scratch, a web-based tool for automatically assessing Compu-tational Thinking (CT) skills evident in visual programmingprojects. We propose a fuzzy logic-based scoring framework toaddress limitations in existing …
  preprints 2025 置信度 0.74
• A Bibliometric Analysis of Music's Role in Promoting Well-Being in Health Science Research
  Background: The relationship between music and well-being has gained scholarly interest due to its implications for mental health and rehabilitation. However, no large-scale bibliometric analysis has captured global trends in this interdisciplinary field. This…
  preprints 2026 置信度 0.74
• A Survey of Contrastive Learning in Medical AI: Foundations, Biomedical Modalities, and Future Directions
  Medical artificial intelligence (AI) systems depend heavily on high-quality data representations to enable accurate prediction, diagnosis, and clinical decision-making. Yet, the availability of large, well-annotated medical datasets is often limited by cost, p…
  preprints 2025 置信度 0.74
• Towards Continuous Explainability of Complex AI Systems: Requirements and Challenges
  Increasing regulatory influences on artificial intelligence (AI) impose new requirements on the trustworthiness of complex AI systems, i.e., compound software systems using at least one AI method. When embedded in value chains and other regulatory scopes, it m…
  preprints 2025 置信度 0.74
• Multimodal Supervisory Graphs for PersistentWorld Modeling in Generative AI
  Generative models have achieved remarkable success in producing realistic images and short video clips, but existing approaches struggle to maintain *persistent worldcoherence over long durations and across multiple modalities. We propose Multimodal Supervisor…
  preprints 2025 置信度 0.74
• Poetic or Prosaic? Evaluating the Linguistic Quality of AI-Generated Draft Replies to Patient Portal Messages
  Abstract Background The use of generative artificial intelligence (genAI) in healthcare is increasing, including the use of GPT-generated draft replies (GDRs) to patient messages via Epic Systems’ electronic health record (EHR). We evaluated GDR use, quality, …
  preprints 2025 置信度 0.74
• Ethical and Governance Challenges of AI in Medical Imaging and Diagnostics: A Systematic Survey and Policy Framework Recommendations.
  Background/Objectives: Artificial intelligence (AI) is increasingly embedded within diagnostic imaging workflows, reshaping clinical decision-making, health system governance, and regulatory oversight. While technical advances in radiological AI have accelerat…
  europepmc 2026 置信度 0.80
• Call to Action: Accelerating AI-driven Transformation in Medical Imaging and the Broader Health Care System.
  Global imaging demand now exceeds capacity due to an aging population, rising comorbidities, expanded indications for imaging, and workforce shortages. These pressures are reshaping national health care policy. At the same time, the competing demands to expand…
  europepmc 2026 置信度 0.80
• A Study on the Formation Mechanism and Psychological Structure of AI Emotional Dependence among Vocational High School Students
  Abstract This study investigates emotional dependency on generative artificial intelligence among vocational high school (VHS) students. In alignment with Taiwan’s 108 Curriculum Guidelines, an interactive “Health and Nursing” module addressing AI reliance was…
  europepmc 2026 置信度 0.80
• Establishing the robustness metric as a scalable proxy for clinical relevance in medical AI explainability.
  Despite high performance of deep learning in medical imaging applications, the critical lack of validated computational metrics for explainable AI (XAI) impedes clinical integration. To address this gap, our study introduces a multi-level validation framework …
  europepmc 2026 置信度 0.80
• A Psychometric Analysis of an AI-Assisted Tool for Assessing Learning Outcomes in Veterinary Education.
  This study introduces an artificial intelligence-human-in-the-loop (AI-HITL) process to create an instrument for evaluating the quality of learning outcomes (LOs) in a veterinary curriculum. Although clear LOs are essential for competence-based education, thei…
  europepmc 2026 置信度 0.80
• Mapping National Governance of AI for Health: Protocol for a Global Scoping Review.
  Background AI is rapidly transforming health systems, expanding from diagnostic imaging and predictive analytics to large language model-enabled clinical decision support. However, significant governance challenges persist, including algorithmic bias, privacy …
  europepmc 2026 置信度 0.80
• Barrier check study: why predictive machine learning struggles to reach the operating room.
  Objectives Machine learning (ML) has the potential to enhance surgical decision-making through real-time risk prediction and personalised care yet clinical implementation remains limited. This study aimed to identify and categorise the key barriers to implemen…
  europepmc 2026 置信度 0.80
• From parallel to aligned: a United States Medical Licensing Examination (USMLE<sup>®</sup>) mapping and assessment-tagging framework for medical education.
  Background Medical students often experience a "parallel curriculum," which is perceived as a real misalignment between what is taught in the formal institutional curriculum and, for licensing, the United States Medical Licensing Examination (USMLE ® ) content…
  europepmc 2026 置信度 0.80
• AI assisted photographic posture evaluation: a comparative study of ChatGPT and expert physiotherapists.
  Background Traditional visual methods used in posture analysis are limited by subjectivity and variability, whereas computer vision systems provide precise geometric measurements but require technical expertise and specialized resources. Large language models …
  europepmc 2026 置信度 0.80
• Beyond Implementation: Neuroanesthesiologists as Artificial Intelligence CoCreators.
  Artificial intelligence (AI) is rapidly transforming health care, yet neuroanesthesiology stands at a unique crossroads. While numerous FDA-approved AI/ML tools are already in clinical use, current models underperform in several spheres.1 This disconnect revea…
  europepmc 2026 置信度 0.80
• Communication features of ChatGPT responses and care-seeking intention for syphilis in Japan: a controlled dialogue experiment.
  Objective: Syphilis is a major re-emerging infectious disease, and pre-consultation support may be particularly important in rural and remote areas where access to confidential care is limited and stigma can delay help-seeking. We examined how communication fe…
  europepmc 2026 置信度 0.80
• Responsible and Trustworthy Artificial Intelligence in Mining, Oil and Gas, and Manufacturing: A Systematic Review
  Abstract The integration of artificial intelligence (AI) into mining, oil and gas, and manufacturing industries has created opportunities to improve productivity, efficiency, safety, and reliability. However, the use of AI also raises concerns related to trust…
  europepmc 2026 置信度 0.80
• Coordinating Fragmented Global AI Governance: Control, Rights, and Safety as a Regime Complex
  Abstract Artificial intelligence governance is often discussed as if it were a single global policy domain. In practice, however, governments confront a coordination problem across partially overlapping agendas pursued through different instruments by differen…
  europepmc 2026 置信度 0.80
• Using Experience Based Co Design to Develop an AI-Powered Digital Learning Platform for Immunization in Pakistan
  Abstract Background In Pakistan, immunization frontline workers face limited opportunities for continuous training and increasing demands from digital reporting systems, highlighting the need for innovative capacity-building solutions. Objective This study des…
  europepmc 2026 置信度 0.80
• Artificial Intelligence in Healthcare and Public Health: Emerging Applications, Clinical Integration and Future Directions.
  Artificial intelligence (AI) is increasingly reshaping the conceptual and operational foundations of public health [...].
  europepmc 2026 置信度 0.80
• Robotic-assisted and AI-augmented arthroplasty: converging technologies in joint replacement.
  Technology-enabled total joint arthroplasty has bifurcated into two converging paradigms: robotic-assisted arthroplasty (RAA), dominated by haptic-bounded semi-active arms, and AI-augmented arthroplasty (AIAA), propelled by computer vision, machine-learning an…
  europepmc 2026 置信度 0.80
• AI-Generated Multiple Mini Interview (MMI) Stations for Medical School Admissions: Psychometric Evaluation.
  Background Multiple mini interviews (MMIs) are widely used in medical school admissions to assess applicants' nonacademic attributes in a structured and reliable manner. However, the development of high-quality MMI stations is resource intensive and dependent …
  europepmc 2026 置信度 0.80
• Do Large Language Models Replicate Value-Laden Judicial Reasoning? Evidence from Domestic Violence Adjudication in China
  Abstract Large language models are increasingly deployed in quasi-adjudicative legal settings, yet the field lacks a validated framework for empirically assessing judicial quality in value-intensive domains. This Article introduces and validates DV-JusticeBenc…
  europepmc 2026 置信度 0.80
• Conscious justification in using artificial intelligence: A concept analysis for global nursing practice.
  Background Artificial intelligence (AI) systems increasingly mediate nursing decisions globally, from clinical assessments to care planning. While technical explainability receives attention, the concept of conscious justification-deliberate, reasoned articula…
  europepmc 2026 置信度 0.80
• Comparison of Radiographic Cervical Sagittal Alignment Parameters in Patients With Nonspecific Neck Pain, Degenerative Neck Pain, and Healthy Individuals.
  BACKGROUND Cervical spine imbalance can lead to neck pain and abnormal posture. However, the relationship between global cervical sagittal balance and different neck pain subtypes remains unclear. Therefore, this retrospective study aimed to compare radiograph…
  europepmc 2026 置信度 0.80
• Quality assessment of radiographs through AI-driven feedback: A randomized comparative study on radiographer response in lateral knee radiographs.
  Introduction High-quality radiographic positioning is essential for accurate diagnosis in knee imaging. Although artificial intelligence (AI) can assess image quality with high accuracy, its influence on radiographers' clinical decision-making remains unclear.…
  europepmc 2026 置信度 0.80
• Optimising ICU supply chains: Evidence-based strategies for efficiency, resilience and patient safety-a structured narrative review.
  Inventory management in intensive care units (ICUs) plays a critical role in ensuring uninterrupted patient care, yet it remains an underprioritised component of healthcare operations. This narrative review explores current challenges and evidence-based strate…
  europepmc 2026 置信度 0.80
• The Impact of Artificial Intelligence on Self-Regulated Language Learning in Higher Education: A Systematic Review (2022–2025)
  This PRISMA‑guided systematic review synthesizes evidence (Web of Science amp; Scopus; searches closed 31 Aug 2025) on how Artificial Intelligence (AI) influences self‑regulated language learning (SRLL) in higher education. Twenty‑three studies (56.5% publishe…
  europepmc 2026 置信度 0.80
• Artificial intelligence in multimodal data analysis for cancer survival prediction.
  Artificial intelligence (AI) has been introduced to meet the demand for more precise predictions of cancer patient survival by simultaneously interpreting multiple types of input data. These data can originate from a broad spectrum of modalities, where a modal…
  europepmc 2026 置信度 0.80
• Toward sustainable aesthetic education: exploring the impact of GenAl collaboration on students' critical thinking disposition.
  Introduction Artificial intelligence (AI)-enabled tools have increasingly influenced artistic creation processes in aesthetic education. However, empirical evidence regarding their impact on students' critical thinking disposition remains limited. This study e…
  europepmc 2026 置信度 0.80
• Dental Taxonomy Construction with Hybrid Human-AI Framework
  Abstract Background: The rapid expansion of dental research and digital technologies has intensified challenges in knowledge organization, retrieval, and synthesis within dentistry. Existing dental taxonomies are primarily developed through manual, expert-driv…
  europepmc 2026 置信度 0.80
• Can Multimodal Large Language Models Replace Expert Assessment in Preclinical Endodontic Education? A Cross-Sectional Agreement Study
  Abstract Background Multimodal AI models have been proposed as tools to support preclinical dental assessment, yet evidence on their reliability and accuracy remains limited. This study evaluated agreement between expert endodontist and AI model assessments of…
  europepmc 2026 置信度 0.80
• Integrating Traditional and Complementary Medicine into Saudi Primary Care: <i>A Literature Review in Light of the WHO 2025-2034 Strategy</i>.
  Complementary and alternative medicine (CAM) is widely practiced in Saudi Arabia, particularly for health promotion and chronic diseases management. Despite cultural acceptance and high utilization, CAM remains largely unintegrated within the formal healthcare…
  europepmc 2026 置信度 0.80
• Planning and Sustaining Breast Cancer Patient Navigation Programs: A CFIR-Informed Scoping Review of Implementation Determinants.
  Background Patient Navigation Programs (PNPs) address fragmentation and socioeconomic barriers in breast cancer care, but sustainable implementation is complex and context dependent. This scoping review systematically maps and synthesises multilevel determinan…
  europepmc 2026 置信度 0.80
• Scientific autonomy in the structural bubble: from institutional bias to AI-mediated consensus.
  Most professional science is produced inside institutions whose survival depends on competitive funding, political legitimacy, and reputation management. Under these conditions, knowledge production does not unfold in a neutral space of ideas but within a stru…
  europepmc 2026 置信度 0.80
• Explainable Artificial Intelligence in Non-Contrast Brain Computed Tomography Scan for Intracerebral Hemorrhage: A Scoping Review.
  Introduction Artificial intelligence (AI) models applied to non-contrast brain computed tomography (CT) scan have demonstrated promising performance in hematoma detection, segmentation, and outcome prediction. Explainable artificial intelligence (XAI) has been…
  europepmc 2026 置信度 0.80
• Artificial intelligence-powered predictive tools to improve end-of-life decision-making: mini-review.
  Uncertainty around a patient's prognosis at the end of life remains a major barrier to timely palliative-care involvement and alignment of treatments with patient goals. Artificial intelligence (AI)-based tools have recently emerged to provide structured morta…
  pubmed Alabbasi A, Alzahrani M, Sultan F, Sayes M 2026 置信度 0.82
• A Fine-Tuned Multimodal AI Chatbot for Dietary Health and Nutrition, Purrfessor: Development and Mixed Methods Evaluation.
  Background The integration of Large Language and Vision Assistant models with food and nutrition data enables multimodal meal analysis and contextual dietary guidance. Despite this potential, the reliability and practical usefulness of such systems for support…
  europepmc 2026 置信度 0.80