-
crossref
2018-03-12T05:10:17Z
置信度 0.70
-
crossref
2022-05-06T03:28:36Z
置信度 0.70
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crossref
2022-01-24T03:22:17Z
置信度 0.70
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crossref
2021-01-13T06:25:57Z
置信度 0.70
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This paper examines whether firms' partisan alignment with the incumbent president shapes their economic optimism, and whether such alignment-driven optimism translates into firms' stated business plans. I measure firms' partisan preferences by aggregating exe…
crossref
Minjeong Son
2026-07-29T13:54:42Z
置信度 0.70
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crossref
2016-01-12T04:15:21Z
置信度 0.70
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crossref
2023-10-05T03:38:42Z
置信度 0.70
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Automated alignment of optical systems saves the time and energy needed for manual alignment and is required in cases where manual intervention is impossible. This research discusses the state estimation of the misalignment of a reimaging system using a focal …
crossref
Joyce Fang, Dmitry Savransky
2015-09-03T15:36:32Z
置信度 0.70
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The reverse indicator method is also often called the indicator reverse method or the double dial method and is shown in Figure 10.1. This method seems to have originated around the mid to late 1950s in the United States and it is not clear who first developed…
crossref
2020-12-22T14:46:43Z
置信度 0.70
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The challenge of ensuring that artificial intelligence (AI) systems behave in ways that humans prefer is known as the alignment problem. This problem is urgent because we are increasingly delegating consequential tasks to AI agents. The pace, scale, and opacit…
europepmc
2026
置信度 0.80
-
As AI adoption accelerates across human society, the problem of aligning AI models with human preferences remains a grand challenge. Currently, the AI alignment field is deeply divided between behavioral and representational approaches, resulting in narrowly a…
europepmc
2026
置信度 0.80
-
Machine learning (ML) systems for medical imaging have demonstrated remarkable diagnostic capabilities. However, their susceptibility to learning spurious correlations with sensitive attributes poses significant risks to fairness and safety. In this paper, we …
europepmc
2026
置信度 0.80
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Ensuring that AI systems, including artificial general intelligence and artificial superintelligence, behave in alignment with human values and interests presents significant challenges and is known as the AI alignment problem. As AI advances, concerns about c…
europepmc
2026
置信度 0.80
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This paper presents a theoretical inquiry into the domain of artificial intelligence (AI), aiming to delineate the boundaries within which an AI system maintains its benign nature. The boundaries are assessed by integrating a set of AI alignment constraints, s…
europepmc
2025
置信度 0.80
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The problem of aligning humans and artificial intelligences can be understood in terms of minimizing externalities between them. However, economics cannot define externality because it contradicts the rationality assumption. This paper applies the homeostatic …
europepmc
2026
置信度 0.80
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Aim To propose an ethical decision-making framework for artificial intelligence (AI) involvement in person-centred fundamental care, organised around the relational dependency of care activities and grounded in the Fundamentals of Care Framework and the Caring…
europepmc
2026
置信度 0.80
-
In recent years, the integration of artificial intelligence (AI) with drug discovery has become a promising frontier in biomedical research. However, as artificial intelligence systems become increasingly complex, ensuring their alignment with human values and…
europepmc
2025
置信度 0.80
-
Background : This study aims to systematically analyze the structural transition of AI in mental health, differentiating between passive tools and autonomous agents, and to propose a governance framework to facilitate responsible integration or mitigate integr…
europepmc
2026
置信度 0.80
-
Background Large Language Models (LLMs) have demonstrated exceptional capability in textual emotion detection. However, LLM evaluations often treat the emotion taxonomy-the "cognitive ruler" defining the emotional space-as a neutral background variable. The ex…
europepmc
2026
置信度 0.80
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As AI systems become both more powerful and prevalent, ensuring that their actions align with human values is paramount. The challenge of AI alignment is thus an interdisciplinary one that involves not only a technical challenge for computer science but one wi…
europepmc
Brian Hu, Jennifer McVay, Alice Leung, David Chan 等
2025
置信度 0.80
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As AI systems become both more powerful and prevalent, ensuring that their actions align with human values is paramount. The challenge of AI alignment is thus an interdisciplinary one that involves not only a technical challenge for computer science but one wi…
europepmc
2025
置信度 0.80
-
Abstract We conduct a multi-dimensional bibliometric analysis of Computer Science (CS) research at the University of Information Technology (UIT), a specialized IT institution in Vietnam, to examine AI adoption, thematic evolution, and institutional benchmarki…
europepmc
2026
置信度 0.80
-
Pizzochero and Dellaferrera (2025) have recently demonstrated that large language models (LLMs) are capable of emulating human philosophical viewpoints with remarkable fidelity. By instructing these models to simulate responses from distinct intellectual subpo…
europepmc
2025
置信度 0.80
-
The article presents a theoretical study that highlights applicability boundaries for the contemporary AI algorithms. Past the boundaries the technology presents an existential threat to humanity. A discussion how to extend the safety margin concludes the arti…
europepmc
2024
置信度 0.80
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Abstract Artificial and biological systems may evolve similar computational solutions despite fundamental differences in architecture and learning mechanisms—a form of convergent evolution. We provide large-scale evidence for this phenomenon through comprehens…
europepmc
2025
置信度 0.80
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Abstract This paper critically evaluates the attempts to align Artificial Intelligence (AI) systems, especially Large Language Models (LLMs), with human values and intentions through Reinforcement Learning from Feedback methods, involving either human feedback…
europepmc
Adam Dahlgren Lindström, Leila Methnani, Lea Krause, Petter Ericson 等
2025
置信度 0.80
-
Recent public releases of large language models have captured the public’s attention and re-surfaced the so-called AI alignment problem. A large number of well recognized computer scientists such as Geoffrey Hinton and Stuart Russell have noted that AI is rapi…
europepmc
2023
置信度 0.80
-
Value alignment, the process of ensuring that artificial intelligence (AI) systems are aligned with human values and goals, is a critical issue in AI research. Existing scholarship has mainly studied how to encode moral values into agents to guide their behavi…
europepmc
2024
置信度 0.80
-
Value alignment plays a crucial role in human-artificial intelligence (AI) collaboration. Traditional approaches attempt to infer human goals from actions to guide AI policies. However, this behavior-level alignment faces an inherent challenge: the ambiguous m…
europepmc
2026
置信度 0.80
-
The rapid integration of artificial intelligence (AI) into society has surfaced systemic risks, particularly deep polarization exacerbated by algorithms optimizing for individual engagement. The dominant alignment paradigm, reliant on unilateral control (e.g.,…
europepmc
2026
置信度 0.80
-
Abstract Artificial intelligence (AI) is increasingly discussed as a transformative force in education, yet limited attention has been devoted to systematically examining how AI is represented as being used by teachers in subject-specific contexts. This study …
europepmc
2026
置信度 0.80
-
Abstract Agentic artificial intelligence is rapidly emerging as a paradigm in which large language models, retrieval systems, memory modules, software tools, and multi-agent coordination mechanisms are integrated to support autonomous or semi-autonomous decisi…
europepmc
2026
置信度 0.80
-
Abstract Mainstream artificial intelligence alignment research suffers from a fundamental category mistake. As Kogura (2026a) argues in Indifference by Design, the core limitation of large language models lies not in occasional value misalignment, but in struc…
europepmc
2026
置信度 0.80
-
Objective Aligning medical education curricula with standardized competency-based assessments is a multifaceted task that requires accuracy and consistency. While generative artificial intelligence (GenAI) models offer potential assistance, their performance c…
europepmc
2026
置信度 0.80
-
Frontier orbital energies govern charge transfer, energy-level alignment, and optoelectronic performance in organic molecules, yet their prediction across vast chemical spaces remains challenging because they arise from coupled effects of functionality, conjug…
europepmc
2026
置信度 0.80
-
As artificial intelligence (AI) systems increasingly support decision-making in the construction sector, understanding the cognitive mechanisms behind user adoption is essential. Based on Cognitive Fit Theory (CFT), the following research develops and validate…
europepmc
2026
置信度 0.80
-
Abstract This study investigates the use of a Large Language Model (LLM) as an independent secondary marker for senior secondary school assessments. Unlike many prior artificial intelligence (AI) marking studies that rely on artificially generated prompts or h…
europepmc
2026
置信度 0.80
-
An insole-type active assist device has been developed as a robotic system to dynamically correct ankle alignment at heel contact in patients with medial knee osteoarthritis. Although our previous feasibility study demonstrated that the device could be safely …
europepmc
2026
置信度 0.80
-
Deploying large language models (LLMs) in ethically sensitive roles - therapeutic support, clinical decision assistance, and legal analysis, raises the question of whether these systems possess genuine moral wisdom or merely simulate it. This study introduces …
europepmc
2026
置信度 0.80
-
Objective To investigate vertebral artery (VA) hemodynamic changes after occipitocervical fusion in patients with basilar invagination (BI) using image-based computational fluid dynamics (CFD), and to evaluate correlations among sagittal alignment, hemodynamic…
europepmc
2026
置信度 0.80
-
Sovereign wealth funds (SWFs) have evolved from passive stabilization instruments into active architects of national economic transformation, and artificial intelligence (AI) has emerged as the newest arena in which that transformation is contested. This paper…
europepmc
2026
置信度 0.80
-
Knee osteotomy remains a fundamental joint-preserving intervention for unicompartmental osteoarthritis and lower limb malalignment, yet traditional two-dimensional planning is often limited by inter-observer variability and geometric imprecision. Over the past…
europepmc
2026
置信度 0.80
-
Abstract Artificial intelligence (AI) is rapidly transforming agriculture, healthcare, education, finance, public administration, defence, justice, and other sectors. While AI is widely associated with improved efficiency, decision-making, and innovation, many…
europepmc
Julius Peter Kinyera
2026
置信度 0.80
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Background/Objectives: This study aimed to examine the educational implications of an AI-supported performance-based assessment platform in oral radiology education within a constructively aligned framework. Methods: A total of 266 fourth-year dental students …
europepmc
2026
置信度 0.80
-
Construction supply chains are pivotal to circular economy (CE) transitions but remain structurally fragmented, limiting the scalability of resource-efficient solutions. At the same time, digital technologies and life cycle assessment are often deployed in iso…
europepmc
2026
置信度 0.80
-
Mental images are challenging to study, given that our conscious experience is notoriously hard to access. The currently prevalent introspective methods are inherently subjective and can thus only provide limited access to their qualities. Here, we developed a…
europepmc
2026
置信度 0.80
-
Remote-sensing-derived spectral indices and in situ measurements provide complementary information for aquatic monitoring, but their practical integration is complicated by asynchronous observations, heterogeneous tables, missing acquisitions, and non-reproduc…
europepmc
2026
置信度 0.80
-
Background Mental health issues continue to increase worldwide, often intensified by stigma and lack of awareness. Social media has become a major space where individuals articulate their emotional and psychological experiences. However, little is known about …
europepmc
2026
置信度 0.80
-
AI-associated delusions represent an emerging phenomenon requiring mechanistic understanding. This review, after summarizing key contributions on AI-associated delusions, proposes the "amplification spiral" framework, wherein three empirically observed AI char…
europepmc
2026
置信度 0.80
-
Introduction Distal radius fractures are common in older women, but the optimal treatment remains debated. We compared conservative treatment, volar locking plate fixation, and external fixation in women aged ≥65 years with low-energy distal radius fractures, …
europepmc
2026
置信度 0.80
-
Abstract Background: Recent technological change has intensified the volatility, concentration, and context dependence of occupational skill demand. Application-oriented undergraduate curricula therefore require alignment measures that are not only quantitativ…
europepmc
2026
置信度 0.80
-
Introduction As generative artificial intelligence (GenAI) becomes deeply embedded in cognitive workflows, its inherent probabilistic generation mechanisms and the possibility of machine hallucinations may complicate the stability of semi-technical users' trus…
europepmc
2026
置信度 0.80
-
Abstract* Background Vocational guidance is a critical intervention in educational transitions, yet traditional approaches rely on static assessments with limited personalization. Artificial intelligence (AI)-based systems offer the potential to integrate psyc…
europepmc
2026
置信度 0.80
-
Purpose Artificial intelligence (AI)-enabled software as a medical device (SaMD) is increasingly used across clinical specialties, but its governance remains difficult because adaptive systems raise ongoing concerns about version control, subgroup performance …
europepmc
2026
置信度 0.80
-
Abstract This pilot study examined whether prompting large language models (LLMs) with contemplative principles from three wisdom traditions — Buddhist (mindfulness, emptiness, non-duality, boundless care), Vedic (dharma, ahimsa, viveka), and classical Yogic (…
europepmc
2026
置信度 0.80
-
Abstract Background: Digital transformation, population aging, and the expansion of long-term and technology-supported care are changing the competencies, skill mix, and deployment requirements of the health workforce. Smart health services require workers who…
europepmc
2026
置信度 0.80
-
The rapid integration of Artificial Intelligence (AI) in banking, Customer Relationship Management (CRM) has undergone several changes, which have also led to ethical concerns and implications on customer outcomes. While previous studies have studied AI adopti…
europepmc
2026
置信度 0.80
-
This paper presents an explainable AI analysis of brake control in CARLA closed-loop driving. Longitudinal braking is studied through a threshold policy, a risk-aware reference policy, and a distilled policy learned from reference rollouts. The framework combi…
europepmc
2026
置信度 0.80
-
Phylogenetic inference is one of the most common downstream applications of multiple sequence alignment. Quantitative assessment of inferred trees is essential for evaluating the reliability of both alignments and phylogenetic inferences. Establishing a robust…
europepmc
2026
置信度 0.80
-
AI systems are increasingly governed by natural language rules, yet a key challenge arising from reliance on language remains underexplored: interpretive ambiguity. As in legal systems, ambiguity arises both from how these rules are written and how they are ap…
europepmc
2026
置信度 0.80
-
Currently AI-generated works in music, literature, painting, and film have drawn widespread attention, yet assessments of its capabilities remain largely at the empirical level. This paper proposes an analytical framework based on neuroaesthetics, distinguishi…
europepmc
2026
置信度 0.80
-
Application exercises are the most critical components of the sequenced steps of team-based learning (TBL) that should be designed as complex, real-world problems to elicit deep learning and foster student engagement. The process of crafting these exercises pr…
europepmc
2026
置信度 0.80
-
The rapid integration of generative artificial intelligence (AI) tools into higher education has intensified conversations regarding usefulness, ethical alignment, and responsible engagement. Unlike traditional technology acceptance studies that focus on initi…
europepmc
2026
置信度 0.80
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The IDERHA ( I ntegration of Heterogeneous D ata and E vidence towards R egulatory and H TA A cceptance) project aims to enhance medical research by establishing one of Europe’s first pan-European, disease-agnostic health data spaces. Aligned with the European…
europepmc
2026
置信度 0.80
-
Background Health economic modeling is conceptually sophisticated but operationally repetitive and resource intensive. Recent advances in large language models suggest potential for automating components of cost-effectiveness model development. Objective To ev…
europepmc
2026
置信度 0.80
-
Objective To develop a practice-oriented model for integrating artificial intelligence (AI) into nursing practice through executive nurse leader-nurse scientist dyad partnerships. Background AI integration in health systems is accelerating, with applications a…
europepmc
2026
置信度 0.80
-
Recent advances in Artificial Intelligence (AI), particularly large language models (LLMs), have accelerated research into automatic item generation, thereby fueling demand for curriculum-aligned, cognitively aware, contextualised datasets. However, there are …
europepmc
2026
置信度 0.80
-
Background Patient visit summaries (PVS) are patient-facing documents intended to reinforce communication and promote patient education after clinical encounters. Despite national recommendations that patient education materials be written at or below a sixth-…
europepmc
2026
置信度 0.80
-
Abstract The rapid emergence of multi-agent artificial intelligence ecosystems has introduced a critical systems-level problem that contemporary alignment research has largely failed to address: inter-agent objective divergence. While existing literature remai…
europepmc
2026
置信度 0.80
-
Background This study evaluated the quality of multiple-choice questions (MCQs) generated by artificial intelligence (AI) using ChatGPT-4o compared with faculty-written items in periodontology using the Integrated National Board Dental Examination (INBDE) rubr…
europepmc
2026
置信度 0.80
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The allocation of national AI Centers in June 2025 represents a significant research-policy investment in artificial intelligence in Norway. The broad call, which explicitly included artificial intelligence in the field of education, resulted in 50 application…
europepmc
Rune Johan Krumsvik, Marius Ole Johansen
2026
置信度 0.80
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Background Artificial intelligence (AI) applications in managed care pharmacy depend on semantically consistent medication data, yet heterogeneous medication identifiers across real-world electronic health records (EHRs) could undermine analytic fidelity and r…
europepmc
2026
置信度 0.80
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Interactions with conversational AI are effortless by design-instant, compliant, and largely consequence-free. Human communication norms, by contrast, evolved under conditions of reciprocity and social accountability. We propose that repeated engagement with c…
europepmc
2026
置信度 0.80
-
Introduction In-hospital cardiac arrest carries high mortality despite standardized ACLS training. Educators face increasing time constraints in developing assessment tools for ACLS training. Two possible solutions to this problem are using pre-medical student…
europepmc
2026
置信度 0.80
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As artificial intelligence (AI) systems increasingly support value-laden decisions, users may judge whether an advisor's observable choices align with their own priorities. Prior theories of value similarity predict that value alignment should support trust, b…
europepmc
2026
置信度 0.80
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Abstract Large-scale multi-agent AI systems can exhibit nonlinear cascade instabilities that emerge through network interactions and recursive amplification. Most existing AI-safety approaches, however, primarily focus on isolated model alignment rather than t…
europepmc
2026
置信度 0.80
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The rapid expansion of artificial intelligence computing infrastructure and the semiconductor industry has made the dynamic sensing of policy planning, technological innovation, capital investment, and physical construction essential for industrial monitoring …
europepmc
2026
置信度 0.80
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Prior research has examined isolated aspects of artificial intelligence (AI) and circular business models (CBMs), including lifecycle optimization, stakeholder collaboration, and AI-enabled offerings. However, the literature remains fragmented and provides lim…
europepmc
2026
置信度 0.80
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Cyclic peptides are promising modalities for targeting intracellular sites; however, cell-membrane permeability remains a key bottleneck, exacerbated by limited public data and the need for well-calibrated uncertainty. Instead of relying on data-eager complex …
europepmc
2026
置信度 0.80
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The integration of artificial intelligence (AI) into healthcare systems is increasingly hindered by the AI alignment problem. In high-stakes domains such as clinical triage, algorithms frequently reflect and amplify systemic biases. Current alignment methodolo…
europepmc
2026
置信度 0.80
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Explainability methods applied to deep learning models for Alzheimer’s disease neuroimaging produce attribution maps that vary substantially across methods and architectures, yet no validated quantitative framework exists for determining which method most fait…
europepmc
2026
置信度 0.80
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Music therapy has been shown to promote emotional well-being by reducing symptoms of mental disorders and improving quality of life. As artificial intelligence (AI) techniques are increasingly used in music analysis and generation, it is important to understan…
europepmc
2026
置信度 0.80
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The rapid development of the Industrial Internet of Things (IIoT) generates massive heterogeneous sensor data, complicating data cleaning and normalization. Existing algorithmcentric methods often treat quality issues in isolation and lack unified governance. …
europepmc
2026
置信度 0.80
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Introduction: Artificial intelligence (AI) is rapidly transforming hip and knee arthroplasty, particularly in the areas of pre-operative planning and implant design. By integrating advanced imaging analysis, machine learning algorithms, and data-driven analyti…
europepmc
2026
置信度 0.80
-
Abstract Background Artificial intelligence (AI) is increasingly integrated into clinical decision-making across high-risk domains, including diagnostics, therapeutic planning, and patient management. Although systematic reviews have expanded to evaluate AI pe…
europepmc
2026
置信度 0.80
-
Artificial intelligence (AI) is increasingly used in health care but often lacks clinician and patient trust. Explainable AI (XAI) aims to clarify predictions and to make AI decisions more transparent, interpretable, and clinically actionable. However, current…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) has progressed from technical research to routine clinical use, reaching an inflection point where technological capabilities may exceed current regulatory and oversight frameworks. These systems are becoming more complex, progress…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) systems are increasingly assuming social roles traditionally held by humans—but do people want human-AI relationships to be governed by the same behavioral norms as human-human relationships? In three pre-registered studies using d…
europepmc
2026
置信度 0.80
-
Background/objectives Large language models (LLMs) and generative AI are rapidly being integrated into healthy ageing initiatives for tasks ranging from companionship and cognitive support to personalised health advice and reduction in social isolation among o…
europepmc
2026
置信度 0.80
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Background A primary constraint on the capacity of EMS programs to meet industry demand is psychomotor instruction and verification—requiring direct observation of each student by a qualified evaluator. Whether AI video analysis can relieve it is untested; non…
europepmc
2026
置信度 0.80
-
Abstract Purpose Fibromyalgia diagnosis and treatment response depend mostly on patient report, making patient-reported outcomes central to trial evidence. The Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials provides recommendations …
europepmc
2026
置信度 0.80
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This comment explores resource-rational contractualism (RRC) as a framework for artificial intelligence (AI) alignment and reasoning. It assesses RRC's capacity to capture the insights of philosophical contractualism and canvasses its extension to AI alignment…
europepmc
2026
置信度 0.80
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The goal of artificial intelligence (AI) modeling in neuroscience, or NeuroAI, is to uncover the factors that give rise to human-level intelligence. However, current models overwhelmingly focus on simulating adulthood, the end state of intelligence, and often …
europepmc
2026
置信度 0.80
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Lumbar spine disorders encompass degenerative, deformity, osteoporotic, and neoplastic conditions that alter spinal biomechanics and contribute to pain, instability, and functional impairment. Computational modeling, particularly finite element analysis (FEA),…
europepmc
2026
置信度 0.80
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Background Qualitative thematic analysis is widely used in health research to examine patient experiences and inform the refinement of digital health interventions, but it is time- and labor-intensive. Large language models (LLMs) may help accelerate this proc…
europepmc
2026
置信度 0.80
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The rise of multimodal generative AI transforms the intersection of technology and art, offering richer insights into large-scale artworks. While significant research has focused on their creative potential, their ability to represent artworks in latent spaces…
europepmc
2026
置信度 0.80
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Rod alignment in minimally invasive spine (MIS) pelvic fixation using a traditional S2-alar iliac (S2-AI) starting point can be challenging, often requiring substantial rod contouring because of the medial to lateral angulation of the S2-AI tulip relative to t…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) creates personalized, interactive, and low-risk learning opportunities for informal digital learning of English (IDLE). However, effective AI tools do not necessarily lead learners to engage autonomously or productively. Guided by …
europepmc
2026
置信度 0.80
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The monitoring of mental health states using electroencephalogram (EEG) signals has gained increasing attention due to its non-invasive nature for psychological disorders. Large Language Models (LLMs) and Explainable Artificial Intelligence (XAI) have been uti…
europepmc
2026
置信度 0.80
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Generative artificial intelligence offers personalized patient education, yet clinical inaccuracy and lack of theoretical grounding threaten health care safety. This study validates a "nurse-led" AI protocol for generating safe, theory-guided digital education…
europepmc
2026
置信度 0.80