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Abstract Knee osteoarthritis (KOA) affects more than 600 million individuals globally and is associated with significant pain, functional impairment, and disability. While personalized multidisciplinary interventions have the potential to slow disease progress…
europepmc
2025
置信度 0.80
-
Agentic AI is emerging, characterized by autonomous, goal-driven systems capable of reasoning, planning, and executing complex workflows. This paper provides a comprehensive review of the foundational principles of Agentic AI, its current applications in cance…
preprints
2025
置信度 0.74
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The recent progress of large language and multimodal models has been widely attributed to a de facto “data Moore’s law”: as model parameters and training tokens increase, performance improves in a predictable manner across diverse benchmarks. However, this par…
preprints
2025
置信度 0.74
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The increasing sophistication of Artificial Intelligence (AI) systems necessitates a rigorous, multi-dimensional evaluation paradigm that surpasses conventional automated metrics and subjective human assessments. This paper introduces Jo.E (Joint Evaluation), …
preprints
2025
置信度 0.74
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Abstract Disjointed coordination between design, management, engineering, and production teams continues to hamper efficiency across various residential construction projects. This disconnect leads to costly delays in material specification approval, productio…
europepmc
Artem Zaitsev
2025
置信度 0.80
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Current agentic AI frameworks like LangGraph and AutoGen simulate autonomy through sequential prompt chaining, but lack the architectural foundations for true multi-agent coordination. These systems conflate semantic understanding with process orchestration, r…
europepmc
2025
置信度 0.80
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The Ancient Greeks foresaw non-human automata and the power of dialogic learning, but Generative AI and Agentic AI afford the prospect of going beyond interlocutor to co-creator, in an empowering partnership between learner and AI agent to address ‘whole perso…
preprints
2025
置信度 0.74
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Abstract Metacognitive reflection is a crucial transversal skill, especially in an era where generative AI transforms how we teach and learn. As well as being a driver of the need to develop metacognitive reflection, generative AI is also a tool that can be us…
preprints
2025
置信度 0.74
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The emergence of AI-powered coding agents has revolutionized software development, offering unprecedented capabilities in automated code generation, debugging, and optimization. This paper presents a comprehensive analysis of two fundamental architectural para…
preprints
2025
置信度 0.74
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The global management of infectious diseases, from pandemics to antimicrobial resistance, remains a critical public health challenge. This comprehensive review paper synthesizes the emerging paradigm of Agentic Artificial Intelligence (AI) for infectious disea…
preprints
2025
置信度 0.74
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Agentic Artificial Intelligence systems, characterized by autonomous reasoning, memory augmentation, and adaptive planning, are rapidly reshaping technological landscapes. Unlike traditional AI or large language models, agentic AI integrates decision-making wi…
preprints
2025
置信度 0.74
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Abstract Agentic artificial intelligence (AI) — multi-agent systems that combine large language models with external tools and autonomous planning — are rapidly transitioning from research laboratories into high-stakes domains. Our earlier “Basic” paper introd…
preprints
2025
置信度 0.74
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Abstract As Artificial Intelligence (AI) is rapidly integrated into consumer finance, existing systems remain mainly advisors or reactive. This paper proposes a paradigm change: the development and deployment of autonomous AI agents capable of interacting with…
preprints
2025
置信度 0.74
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The escalating global demand for energy-efficient and sustainable built environments has catalyzed the advancement of Building Energy Management Systems (BEMS), particularly through their integration with cutting-edge technologies. This review presents a compr…
preprints
2025
置信度 0.74
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Abstract Rational vaccine design against emerging and understudied pathogens is hindered by incomplete protein–protein interaction (PPI) maps and limited integration of computational prioritization with network-based inference. Here, we present a unified frame…
preprints
2025
置信度 0.74
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Background & Objective Standard clinical LLM benchmarks use multiple-choice vignettes that present all information up front, unlike real encounters where clinicians iteratively elicit histories and objective data. We hypothesized that such formats inflate LLM …
preprints
2025
置信度 0.74
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Large language models (LLMs) can assist clinicians with diagnostic reasoning, yet their autonomous diagnostic performance remains uncertain. We evaluated OpenMedicine AI, an LLM-powered diagnostic agent with a deterministic controller, on 302 New England Journ…
europepmc
2025
置信度 0.80
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This paper investigates the multi-agent collaborative mechanisms underlying the creation of AI-driven interactive art. Drawing upon hierarchical control theory, it introduces the CAA (Creator–Algorithm–Audience) framework—a three-layered control architecture t…
preprints
2025
置信度 0.74
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Background Endoscopic endonasal transsphenoidal surgery (EETS) requires navigation around neurocritical anatomy. Today, artificial intelligence clinical decision support systems (AI-CDSSs) can orientate surgeons, but clinician trust in AI remains unclear, limi…
preprints
2026
置信度 0.74
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Abstract This paper introduces a novel encryption framework that embeds digital information into sequences of legal chess moves. Traditional encryption schemes effectively render data unintelligible, but frequently fail to obfuscate the existence of the encryp…
preprints
2025
置信度 0.74
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Agentic artificial intelligence (AI) — multi-agent systems that combine large languagemodels with external tools and autonomous planning — are rapidly transitioning fromresearch laboratories into high-stakes domains. Our earlier “Basic” paper introduced afive-…
preprints
2025
置信度 0.74
-
Agentic artificial intelligence (AI)—multi-agent systems that combine large languagemodels with external tools and autonomous planning—are rapidly transitioning from researchlabs into high-stakes domains. Existing evaluations emphasise narrow technicalmetrics …
preprints
2025
置信度 0.74
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Abstract Understanding and analyzing complex, dynamic interactions in competitive environments remains a critical challenge inintelligent visual systems. Recent advances in spatiotemporal modeling and multi-agent reasoning underscore the importanceof structure…
preprints
2025
置信度 0.74
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There is a need for better therapies for acute radiation injury (ARI) of the human intestine as current treatments offer limited efficacy. As the ileum is most sensitive to radiation in patients receiving cancer radiation therapy, we created human Organ Chip m…
preprints
2025
置信度 0.74
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This paper introduces the Embodied AI Simulation Environment (EAISE), a proposed conceptual software framework designed to support the development and interpretability of advanced artificial intelligence systems. In contrast to methods of 'direct' self-recogni…
preprints
Berend Watchus
2025
置信度 0.74
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This review article analyzes how decades of progress in maternal and neonatal health (MNH) are being threatened by global crises, conflicts, and socioeconomic inequities, which have led to significant health disparities in the Middle East and North Africa (MEN…
preprints
2025
置信度 0.74
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Recent advances in large language models (LLMs) have reignited questions about whether artificial systems possess consciousness. Yet, despite remarkable progress in reasoning and language understanding, current AI systems exist only within isolated episodes of…
preprints
2025
置信度 0.74
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Purpose Scientific knowledge is increasingly captured in structured formats, such as knowledge graphs, yet it remains largely inaccessible to non-technical users. We present EcoToxFred, a prototype conversational AI agent that enables intuitive, natural langua…
preprints
2025
置信度 0.74
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This paper presents PhysiGym, a framework that integrates agent-based biological simulation within standardized reinforcement learning environments. By integrating the agent-based modeling framework PhysiCell with the Gymnasium API, we provide a flexible tool …
preprints
2025
置信度 0.74
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Large Language Models (LLMs) have shown im- pressive reasoning abilities with the use of chain-of-thought (CoT) prompting. However, reasoning is still brittle: small errors early on propagate forward to lead to confidently asserted but erroneous conclusions. T…
preprints
2025
置信度 0.74
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Accurate prediction of DNA-protein interactions, a fundamental task in genomics, is limited by the poor generalization of existing models to novel proteins not seen during training. To address this challenge, we introduce Qimai, a modular AI agent framework th…
preprints
2025
置信度 0.74
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Large language model (LLM) based agents are rapidly emerging as transformative tools across biomedical research and clinical applications. By integrating reasoning, planning, memory, and tool use capabilities, these agents go beyond static language models to o…
preprints
2025
置信度 0.74
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This study provides an integrated electrophysiological and behavioral account of the neuro-cognitive markers underlying trust evolution during human interaction with artificial intelligence (AI). Trust is essential for effective collaboration and plays a key r…
preprints
2025
置信度 0.74
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Background: The maritime industry is experiencing a dual transformation driven by decarbonization imperatives and Industry 4.0 digitalization. Green Digital Shipping Corridors (GDSCs) is one of the initiatives that integrate zero-emission technologies to achie…
preprints
2025
置信度 0.74
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PromptBio is a modular AI platform for scalable, reproducible, and user-adaptable bioinformatics analysis, powered by generative AI and natural language interaction. It supports three complementary modes of analysis designed to meet diverse research needs. Pro…
europepmc
2025
置信度 0.80
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Abstract The paper explores the multifaceted impacts of the integration of the increasingly autonomous AI agents into the field of cybersecurity. The paper attempts to address the technical, business, ethical, and legal considerations associated with the incre…
preprints
2025
置信度 0.74
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The construction of high-quality experimental stimuli is foundational to psychological research, yet current practices remain labor-intensive, reliant on expert intuition, and limited in scale and reproducibility. As the field increasingly pursues large-scale,…
preprints
2025
置信度 0.74
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People often mistrust the moral decisions of AI, in part because it uses opaque black-box processes that differ from human reasoning. We introduce a method—“cognitive” bottlenecks—for more trustworthy and transparent AI by aligning large language models (LLMs)…
preprints
2025
置信度 0.74
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Dementia and mild cognitive impairment (MCI) are growing health concerns in Canada’s aging population. Over 700,000 Canadians currently live with dementia, and this number is expected to rise. As the older adult population increases, coupled with an already st…
preprints
2025
置信度 0.74
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Abstract The paper examines the ways of how artificial intelligence can be utilized in maximizing the sustainability of industry and municipal waste treatment systems. Applying the case of automotive assembly line operations and municipal waste management in G…
preprints
2025
置信度 0.74
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Large language model (LLM) agents hold promise for accelerating biomedical research and development (R&D). Several biomedical agents have recently been proposed, but their evaluation has largely been restricted to question answering (e.g., LAB-Bench) or narrow…
preprints
2025
置信度 0.74
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Large language model (LLM)-based generative AI offers the promise of responsive health information for patients and carers but presents ethical and legal challenges when used outside clinical oversight. This mini review maps these considerations for patients a…
preprints
2025
置信度 0.74
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This comprehensive technical analysis examines the emerging field of AI-driven self-healing DevOps pipelines, focusing on the architectural implementation, multi-agent orchestration systems, and governance mechanisms that enable autonomous infrastructure manag…
europepmc
2025
置信度 0.80
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Abstract AI CAR Loop 1.0 is a modular, AI-driven platform designed to accelerate Chimeric Antigen Receptor T-cell (CAR-T) therapy development for solid and hematological malignancies, with all demonstrations conducted through computational validation. The plat…
preprints
2025
置信度 0.74
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Large language models exhibit intelligence without genuine epistemic understanding, revealing a fundamental philosophical gap: the absence of epistemic architecture. This paper introduces the Structured Cognitive Loop (SCL) as an executable epistemological fra…
preprints
2025
置信度 0.74
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This contribution proposes the Cognitive-AI Synergy Framework (CASF), a novel approach to integrating Generative Artificial Intelligence (GenAI) in education. CASF synthesizes De Zubiría's dialogic pedagogical model with the Artificial Intelligence Assessment …
preprints
2025
置信度 0.74
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Aptamers are widely used in biosensing and targeted therapeutics, yet reported data remain fragmented across unstructured text, tables, and figures. Existing databases are limited in coverage and diversity, which constrains computational modeling. Here, we pre…
europepmc
2026
置信度 0.80
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Background Simulated medical scenarios are useful for evaluating and developing clinical competencies but scheduling them is expensive and time-consuming. Large language models show promise in role-playing tasks. We investigated the fidelity with which ChatGPT…
europepmc
2026
置信度 0.80
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Artificial intelligence is becoming a general-purpose enabling technology for the life sciences. AI-enabled tools can strengthen biosecurity and biodefense by improving early warning, accelerating vaccine and therapeutic discovery, supporting laboratory safety…
pubmed
Luhachack L, Connell N, Berger K
2026
置信度 0.82
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Oncology care increasingly depends on heterogeneous sensing streams generated by computed tomography (CT), radiotherapy planning systems, wearable devices, home respiratory sensors, patient-reported outcomes, and clinical records. These data streams are often …
pubmed
Frimu-Pascu DD, Dobre C, Olteanu M
2026
置信度 0.82
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Background Stress is widespread and carries substantial mental health, social, and economic burdens. Yet, access to clinician-led stress management remains constrained by service capacity, cost, and stigma. In response, artificial intelligence (AI)-enabled too…
europepmc
2026
置信度 0.80
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Core facilities source advanced technologies and expertise but can remain under-utilized because researchers, students and early-career scientists, struggle to identify relevant units or cannot articulate appropriate technical inquiries. To enhance access to u…
europepmc
2026
置信度 0.80
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Introduction Artificial intelligence (AI)-powered chatbots are increasingly integrated into healthcare to support administrative processes, health education and chronic disease management. These systems simulate human dialogue through natural language processi…
europepmc
2026
置信度 0.80
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BACKGROUND: Orthopedic Graduate Medical Education (GME) necessitates the cultivation of comprehensive clinical competencies across various subspecialties—including trauma, joint disorders, spinal conditions, and sports medicine—within a constrained training pe…
europepmc
2026
置信度 0.80
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[This corrects the article DOI: 10.3389/frai.2026.1719703.].
europepmc
2026
置信度 0.80
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As artificial intelligence systems continue to overcome evermore challenging tasks, researchers have suggested that the time is ripe to begin evaluating these systems along more psychologically inspired lines. This study seeks to build upon these recommendatio…
europepmc
2026
置信度 0.80
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Importance High-quality, timely cardiopulmonary resuscitation (CPR) after out-of-hospital cardiac arrest (OHCA) is vital, but bystanders need help to act. Telecommunicator-CPR by 911 dispatchers promotes bystander CPR but may be limited by inherent variability…
europepmc
2026
置信度 0.80
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Tuberculosis remains the leading cause of death from a single infectious agent, with drug-resistant tuberculosis, particularly multidrug-resistant and extensively drug-resistant strains, posing major challenges for timely treatment. Whole-genome sequencing can…
europepmc
2026
置信度 0.80
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This paper critically analyzes MBTI-based personality profiling using Large Language Models (LLMs), examining both their use as tools for inferring human personality and as subjects evaluated through psychometric frameworks. We review recent work (2020-2025) s…
europepmc
2026
置信度 0.80
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Introduction In recent years, psychosocial issues like bullying and ragging have risen all around the world. Even though there are some victims who report such cases, most of them never do so because of fear, stigma, or mistrust, mainly among students. This sc…
europepmc
2026
置信度 0.80
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Developing reliable evaluative judgment is a central and cognitively demanding task in graduate education, as assessing research writing requires integrating multiple quality criteria while regulating subjective bias. Effective evaluation relies on learners' a…
europepmc
2026
置信度 0.80
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Background Depression and loneliness are highly prevalent among older adults, yet access to timely and adequate mental health care remains limited in this population. Artificial intelligence-based conversational and socially assistive agents have emerged as a …
europepmc
2026
置信度 0.80
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Artificial Intelligence (AI) agents are rapidly transforming healthcare delivery, enabling real-time decision support and sophisticated patient interaction at scale. However, the scientific landscape of this rapidly growing, multidisciplinary field remains fra…
pubmed
Njei B, Al-Ajlouni YA, Sidney Kanmounye U, Boateng S 等
2026
置信度 0.82
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Real-world glucagon-like peptide-1 receptor agonist (GLP-1 RA) therapies face substantial attrition rates in commercial digital weight loss services (DWLSs). Conversational artificial intelligence (AI) has been proposed to enhance patient support at production…
pubmed
Talay L, Xu C, Alderete J, Hom J 等
2026
置信度 0.82
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Pharmaceutical research and development has accumulated vast and heterogeneous archives of data. Much of this knowledge stems from discontinued programs, and reusing these archives is invaluable for reverse translation. However, in practice, such reuse is ofte…
europepmc
2026
置信度 0.80
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This paper explores the fundamental challenges of machine consciousness in the era of Physical AI, where Large Language Models (LLMs) are integrated with humanoid platforms. While current systems like 'Ameca' exhibit sophisticated conversational abilities, the…
europepmc
2026
置信度 0.80
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Electronic health records (EHRs) are a rich source of real-world clinical data, but turning them into valid analyses remains slow, brittle, and expert-intensive. Although recent AI agents can answer medical questions and use tools, automating full EHR workflow…
europepmc
2026
置信度 0.80
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Abstract Reliable solar power is essential for sustained lunar and Martian surfaceoperations, yet lunar dust poses one of the most severe threats to photovoltaicperformance. Apollo missions recorded up to 16% power loss within one year, whilelaboratory tests s…
europepmc
2026
置信度 0.80
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Large language model agents are not merely long-prompt applications: they repeatedly prefill growing transcripts that mix instructions, tool schemas, tool observations, persistent memory, scratchpads, and sub-agent outputs, re-submitting the accumulated contex…
europepmc
2026
置信度 0.80
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Reliable public-sector labour-market forecasting requires models that can be updated as data sources, AI tools, and labour-market signals evolve. This paper proposes a provider-independent multi-agent framework for dynamic predictive evaluation of national and…
europepmc
Ivona Velkova, Valentin Kisimov
2026
置信度 0.80
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Objectives To evaluate the feasibility and performance of a large language model (LLM)-based artificial intelligence (AI) agent, implemented within a structured Claim-Argument-Evidence System (CAES), for supporting the review of clinical quality measure (CQM) …
europepmc
2026
置信度 0.80
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Background: Mental illness constitutes one of the greatest worldwide health burdens. The use of artificial intelligence (AI) and virtual reality (VR) is becoming increasingly relevant in mental health. Nevertheless, evidence regarding their integrated applicat…
europepmc
2026
置信度 0.80
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As introduced by Asimov in "I, Robot", intelligent machines are characterized as systems capable of performing tasks that traditionally require human intelligence, such as autonomous decision-making and driving. In this context, modern road vehicles can increa…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) powered chatbots are emerging tools to support healthcare providers, especially in palliative care, by delivering information, emotional support and practical assistance to patients and caregivers. This study aimed to perform a Str…
europepmc
2026
置信度 0.80
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Background Systematic reviews and meta-analyses represent the highest level of evidence in clinical research, but the process of article retrieval and screening is labor-intensive. Large language models, such as ChatGPT-5, may offer an efficient alternative, y…
europepmc
2026
置信度 0.80
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Artificial intelligence (AI) has garnered considerable attention for its potential to improve organizational operations and streamline workflows. Beyond being just a mere tool, AI is now increasingly framed as an agent capable of providing social and emotional…
europepmc
2026
置信度 0.80
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Objective Assistive communication technologies are central to participation for individuals with multiple disabilities. Although artificial intelligence (AI) functionalities are increasingly proposed within augmentative and alternative communication (AAC) syst…
europepmc
2026
置信度 0.80
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Introduction Human-AI teaming is increasingly being studied in applied and high-stakes settings, yet the evidence remains dispersed across domains, constructs, and research traditions. This fragmentation also limits efforts to connect broader human-AI findings…
europepmc
2026
置信度 0.80
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Aims Idiopathic pulmonary fibrosis (IPF) is a fatal interstitial lung disease with limited therapeutic options. Epigenetic regulation by p300 histone acetyltransferase plays a central role in fibroblast activation and fibrotic gene transcription. This study ai…
europepmc
2026
置信度 0.80
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Objective Implementing target trial emulation (TTE) studies as standardized, reproducible analytic workflows is technically demanding. We developed Text-guided Health-study Estimation and Specification Engine Using Strategus (THESEUS), which uses large languag…
europepmc
2026
置信度 0.80
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Recent advances in Large Language Models (LLMs) have raised critical concerns regarding AI alignment and safety, particularly with respect to the reliability of their outputs. In humans, metacognition plays a key role in making cognition robust and adaptive. L…
europepmc
2026
置信度 0.80
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Advances in AI are expanding both the ceiling and the accessibility of biological engineering, creating threats that existing synthetic nucleic acid screening is not equipped to detect. The IARPA-funded Functional Genomic and Computational Assessment of Threat…
europepmc
2026
置信度 0.80
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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…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Traditional talent development models were designed before the AI revolution and do not consider artificial agents as possible sources of development. artificial intelligence is quickly infiltrating education spaces-but our thinking about learning has not caug…
europepmc
2026
置信度 0.80
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Abstract Generative artificial intelligence (AI)-powered simulated patients may expand access to adaptive and repeatable clinical training, yet evidence concerning their educational effectiveness, technical implementation, and responsible use remains fragmente…
europepmc
2026
置信度 0.80
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Recent advances in robotics and artificial intelligence (AI) are reshaping assumptions about moral agency, and moral or ethical interaction. The moral sphere is being expanded to non-human artificial agents. While in history, we expanded the moral sphere to no…
europepmc
2026
置信度 0.80
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Generative Social Agents (GSAs) have the capability to influence their human users through persuasive communication. On the one hand, they might motivate users to pursue positive personal goals, such as following a healthier lifestyle. On the other hand, GSAs …
europepmc
2026
置信度 0.80
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The rise of agentic artificial intelligence (Agentic AI) marks a transition from systems that optimize externally specified objectives to systems capable of representing, evaluating, and revising their own goals. Whereas earlier AI architectures executed fixed…
pubmed
Haidemariam T
2025
置信度 0.82
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Low- and middle-income countries bear the most significant burden of foodborne diseases, impacting their food and nutrition security, trade, and ultimately economic growth. Recent advances in digitization and artificial intelligence provide new opportunities t…
europepmc
2026
置信度 0.80
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A bstract The volume of scientific manuscripts is rising faster than the available pool of expert reviewers, and AI tools are emerging as a possible response, ranging from frontier large language models applied directly to peer review to purpose-built multi-ag…
europepmc
2026
置信度 0.80
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Background AI anchors are increasingly deployed in live-streaming commerce, raising the question of whether they can substitute for human anchors. Prior studies have documented differences in consumer responses to these anchor types, but the psychological proc…
europepmc
2026
置信度 0.80
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Background Periodontitis, characterized by chronic inflammation and alveolar bone loss, poses significant challenges to oral health. Interleukin-38 (IL-38) has emerged as a potential therapeutic agent due to its anti-inflammatory properties. This study aimed t…
europepmc
2026
置信度 0.80
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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
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The convergence of artificial intelligence and biotechnology is transforming the life sciences and enabling rapid design, development, and analysis across the research lifecycle. However, this acceleration also heightens the risk for potential biological misus…
europepmc
2026
置信度 0.80
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Advancements in artificial intelligence (AI) tools can make it difficult to discern what is "real". Though children are interacting with AI-generated materials through entertainment and learning applications, no published work directly considers children's abi…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Unlabelled This study evaluates the dynamic clinical reasoning of 4 leading large language models in complex nephrology cases, demonstrating that while Gemini 2.5 Pro achieved the highest reasoning scores and computational efficiency, all tested models excelle…
europepmc
2026
置信度 0.80
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Foundation models, in particular large language models (LLMs), are finding increasing popularity when used in describing goals for robotic control, decision making, and execution. Recently, proposals for hybrid paradigms leveraging strengths of reinforcement l…
europepmc
2026
置信度 0.80
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Ongoing debates in higher education regarding whether artificial intelligence should be further integrated or deliberately constrained call for empirical research that offers a more explanatory analytical framework. However, existing studies on the human-AI co…
europepmc
2026
置信度 0.80