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• Algorithmic Adjudication and Constitutional AI—The Promise of A Better AI Decision Making Future?
  Algorithmic governance is when algorithms, often in the form of AI, make decisions, predict outcomes, and manage resources in various aspects of governance. This approach can be applied in areas like public administration, legal systems, policy-making, and urb…
  crossref April G. Dawson 2024-08-02T21:55:03Z 置信度 0.70
• Navigating the AI era: university communication strategies and perspectives on generative AI tools
  This study conducts a pioneering empirical analysis of generative AI tools, such as ChatGPT, in the context of university communication across German universities. It explores the adoption rates, identifies the primary challenges, and assesses the potential of…
  crossref Justus Henke 2024-05-27T10:03:38Z 置信度 0.70
• Integrating AI/ML into Agile Development
  The integration of Artificial Intelligence (AI) and Machine Learning (ML) into Agile development practices presents both opportunities and challenges.This paper explores how AI/ML can enhance Agile development, providing insights into the benefits, potential p…
  crossref Sai Vaibhav Medavarapu 2024-08-09T11:26:38Z 置信度 0.70
• 51. AI in science communication
  Artificial intelligence (AI) has become an integral part of science communication in recent years, transforming the way we share and disseminate scientific knowledge.From analyzing data to predicting future trends, AI is helping scientists and science communic…
  crossref 2024-03-05T04:47:40Z 置信度 0.70
• The revolution in high-throughput proteomics and AI
  The recent capability to measure thousands of plasma proteins from a tiny blood sample has provided a new dimension of expansive data that can advance our understanding of human health. For example, the company SomaLogic has developed the means to measure more…
  crossref Eric J. Topol 2024-09-26T18:00:52Z 置信度 0.70
• AI for Understanding Context
  crossref Yair Neuman 2024-12-04T08:48:17Z 置信度 0.70
• AI-generated commentaries flood journals, distort metrics
  Shoddy commentaries are a quick and dirty route to higher impact numbers
  crossref Frederik Joelving 2024-12-19T19:00:37Z 置信度 0.70
• AI-optimism, vigilance and biases: support and influence from AI in classroom discussions about social issues
  This study explores students’ use of generative AI in classroom discussions about controversial issues. A case study was designed around a two-lesson module developed and implemented by three social studies teachers in one upper secondary school in Sweden. The…
  crossref Evgenia Efimova, Thomas Nygren 2024-09-24T12:23:25Z 置信度 0.70
• Leveraging Artificial Intelligence (AI) to Strengthen Cybersecurity
  crossref Anay Kushwaha 2024-10-07T12:57:58Z 置信度 0.70
• 2 The Alpha and Omega of AI
  crossref 2024-08-01T13:21:24Z 置信度 0.70
• Explainable AI: Demystifying the inner Workings of AI
  Decisions as diverse as medical diagnoses and loan approvals are being influenced by AI systems, which are becoming more and more integrated into our everyday lives. But many AI models aren’t transparent, so people wonder whether they’re biased, untrustworthy,…
  crossref 2024-06-18T11:45:56Z 置信度 0.70
• AuroraGPT: Exploring AI Assistant for Science
  crossref 2024-07-08T17:25:04Z 置信度 0.70
• Scientific Perspectives in the AI Era
  crossref Takuya MATSUMOTO 2024-11-09T22:13:11Z 置信度 0.70
• Application of artificial intelligence in the materials science, with a special focus on fuel cells and electrolyzers
  • Transformation of global technological developments by artificial intelligence (AI). • Overview of AI fundamentals to enhance foundational understanding. • Scope and status of AI research in materials science from discovery to optimization. • Role of AI to c…
  crossref Mariah Batool, Oluwafemi Sanumi, Jasna Jankovic 2024-09-17T18:47:13Z 置信度 0.70
• AI & robotics briefing: Why AI needs to see the ‘ugly’ side of science
  crossref Katrina Krämer 2024-05-15T10:02:27Z 置信度 0.70
• AI has a democracy problem. Citizens’ assemblies can help.
  When it comes to making decisions about artificial intelligence (AI), Eric Schmidt is very clear. In 2023, the former Google CEO told NBC’s Meet the Press , “there’s no way a nonindustry person can understand what is possible. It’s just too new, too hard, ther…
  crossref Jack Stilgoe 2024-08-22T17:59:05Z 置信度 0.70
• Multimodal AI Systems for Human-AI Collaboration
  Multimodal AI Systems for Human-AI Collaboration Waliu Adebayo Ayuba1* Abstract The convergence of multimodal artificial intelligence (AI) and human AI collaboration (HAI) marks a transformative shift in the design of intelligent systems. Multimodal AI integra…
  crossref Waliu Adebayo Ayuba 2025-10-15T12:48:43Z 置信度 0.70
• GPT-4 Attempting to Attack AI-Text Detectors
  crossref Alshehri Nojoud, Lin Yuhao 2024-11-23T18:38:00Z 置信度 0.70
• AI-optimism, vigilance and biases: support and influence from AI in classroom discussions about social issues
  This study explores students’ use of generative AI in classroom discussions about controversial issues. A case study was designed around a two-lesson module developed and implemented by three social studies teachers in one upper secondary school in Sweden. The…
  crossref Evgenia Efimova, Thomas Nygren 2024-09-24T16:49:09Z 置信度 0.70
• Enhancing Mobile App User Experiences with AI Driven Personalization
  The integration of artificial intelligence (AI) into mobile applications has revolutionised user interactions by enabling dynamic and adaptive personalisation.This paper explores the transformative potential of AI-driven personalisation in enhancing user exper…
  crossref Maxwell Nwanna 2024-12-09T06:31:31Z 置信度 0.70
• AI Security Continuum: Concept and Challenges
  We propose a conceptual framework, named "AI Security Continuum," consisting of dimensions to deal with challenges of the breadth of the AI security risk sustainably and systematically under the emerging context of the computing continuum as well as continuous…
  crossref Hironori Washizaki, Nobukazu Yoshioka 2024-06-11T17:28:38Z 置信度 0.70
• 16 Generative AI and Large Language Models
  The following Reprint presents contributions published in the Special Issue entitled Generative AI and Large Language Models in Big Data and Cognitive Computing. It brings together recent research on the methods, applications, and evaluation of large language …
  crossref 2024-08-01T13:21:24Z 置信度 0.70
• Prompt Engineering Techniques, Small Language Models, and Fine-Tuning
  In this chapter, we will explore the different prompt engineering techniques in depth. Prompt engineering is core to the success of any generative AI project. Aside from providing accurate information, prompt engineering also addresses industry-wide concerns s…
  crossref Julian Soh, Priyanshi Singh 2024-11-18T19:29:09Z 置信度 0.70
• Revolutionizing Health Records: The AI Way
  The integration of Electronic Health Records (EHR) and Artificial Intelligence (AI) represents a pivotal advancement in modern healthcare delivery. Originating in the mid -20th century, EHRs have evolved from simple digital platforms to comprehensive repositor…
  crossref Sharon Nelson R Saranya 2024-05-13T09:31:45Z 置信度 0.70
• The application of AI tools in weather and climate science
  Recent years have witnessed significant advancements in the development of Artificial Intelligence (AI) tools, notably Large Language Models (LLMs), with prominent systems including ChatGPT by OpenAI, Gemini by Google, and Copilot by Microsoft. Despite inheren…
  crossref Agnieszka Krzyżewska 2024-07-05T08:06:31Z 置信度 0.70
• AI for Climate Science: Advanced Modeling and Predictive Tools for Climate Change Impact
  Abstract: This chapter explores the transformative role of Artificial Intelligence (AI) in advancing climate science, focusing on the development of advanced modeling techniques and predictive tools to better understand and mitigate the impacts of climate chan…
  crossref Murali Krishna Pasupuleti 2024-08-23T06:46:28Z 置信度 0.70
• AI and the Newsroom: Transforming Journalism with Intelligent Systems
  The integration of Artificial Intelligence (AI) into journalism has revolutionized news production, reshaping the industry through advancements in automated content creation, data analysis, and ethical considerations.The use of Large Language Models (LLMs) and…
  crossref Elfredah Kevin-Alerechi 2024-12-09T06:31:31Z 置信度 0.70
• Coming Online: Enabling Real-Time and AI-Ready Scientific Discovery
  Challenges in Real Time Sensor ProcessingFront end signal processing is typically separated from data processing via storage• Many architectures collect snapshots and store to disk, with developers and operators using offline data for analysis, slowing time to…
  crossref Adam Thompson, Luigi Cruz 2024-10-16T20:50:23Z 置信度 0.70
• Harnessing the Power of AI in Banking
  Modern banking, accompanied by rapid technological development, is evolving towards the comprehensive implementation of Artificial Intelligence. Throughout this article, the ongoing integration of AI into most banking procedures will be discussed, concentratin…
  crossref Kinil Doshi 2024-06-03T12:18:01Z 置信度 0.70
• Generative AI Learning Environment for Non-Computer Science Engineering Students: Coding Versus Generative AI Prompting
  This paper addresses the need for a positive and effective learning environment for engineering students in non-computer science fields to grasp Generative AI principles while navigating the intricate balance between its application and developmental insights.…
  crossref Robert Alphinas, Torben Tambo 2024-12-05T01:17:10Z 置信度 0.70
• AI research assistants, intrinsic values, and the science we want
  crossref Ariel Guersenzvaig, Javier Sánchez-Monedero 2024-02-01T01:02:36Z 置信度 0.70
• Generative AI: Challenges and the Road Ahead
  crossref Mudasir Ashraf 2024-10-14T11:50:56Z 置信度 0.70
• Intelligent Service Order Management with AI Integration
  This paper outlines the implementation of an AI -driven system designed to enhance order management and service efficiency, particularly within the contexts of electronics manufacturing and manufacturing plants.The system leverages machine learning to analyze …
  crossref Naveen Koka 2024-07-12T10:39:38Z 置信度 0.70
• Large language models in law: A survey
  The advent of artificial intelligence (AI) has significantly impacted the traditional judicial industry. Moreover, recently, with the development of AI-generated content (AIGC), AI and law have found applications in various domains, including image recognition…
  crossref Jinqi Lai, Wensheng Gan, Jiayang Wu, Zhenlian Qi 等 2024-10-17T02:21:27Z 置信度 0.70
• An AI update
  crossref 2024-02-15T05:08:55Z 置信度 0.70
• ‘Brutal’ math test raises the bar for AI
  Model-stumping benchmark shows human experts remain on top—for now
  crossref Zack Savitsky 2024-12-05T18:58:41Z 置信度 0.70
• Law and the Political Economy of AI Production
  The governance of Artificial Intelligence (AI) is at a historical juncture. Legislative acts, global treaties, export controls, and technical standards are now dominating the discourse over what used to be a predominantly market-driven space. Amidst all this f…
  crossref Petros Terzis 2024-02-06T00:04:20Z 置信度 0.70
• The Decision Maker's Handbook to Data Science
  This third edition delves into the latest advancements in AI, focusing on large LLMs, and AI's ability to emulate human decision-making.
  crossref Stylianos Kampakis 2024-06-30T21:02:16Z 置信度 0.70
• Governing society with flexible AI <b>Guardrails: Guiding Human Decisions in the Age of AI</b> <i>Urs Gasser and Viktor Mayer-Schönberger</i> Princeton University Press, 2024. 240 pp.
  Policy that prioritizes human agency is possible, even in an age of artificial intelligence
  crossref Joanna Bryson 2024-03-14T13:58:59Z 置信度 0.70
• AI Safety Is a Narrative Problem
  This op-ed explores power and narrative dynamics around AI. Drawing on pop-culture references, the professional experiences of the author and examples from 2023’s “Great AI Safety Hype Roadshow,” this piece draws on the literary criticism technique of practica…
  crossref Rachel Coldicutt 2024-04-15T18:15:21Z 置信度 0.70
• ChatGPT: Empowering Self-Directed Writing Through Mind Mapping and Ai-Assisted Composition
  Since the beginning of 2020, the pandemic has prompted senior high school students to embark on a self-directed learning journey, adapting to the demands of remote education. In contrast to traditional learning environments, where teachers use an autocratic ma…
  crossref 2024-01-17T04:14:32Z 置信度 0.70
• Group to establish standards for AI in papers
  Researchers may be using generative artificial intelligence to help write 1%–5% of manuscripts
  crossref Holly Else 2024-04-18T17:59:28Z 置信度 0.70
• Teaming up with an AI: Exploring human-AI collaboration in a writing scenario with ChatGPT
  Recent advancements in artificial intelligence (AI) technologies, particularly in generative pre-trained transformer large language models, have significantly enhanced the capabilities of text-generative AI tools – a development that opens new avenues for huma…
  crossref Teresa Luther, Joachim Kimmerle, Ulrike Cress 2024-02-22T00:26:28Z 置信度 0.70
• Next Generation AI-Based Firewalls: A Comparative Study
  Cybersecurity is a critical concern in the digital age, demanding innovative approaches to safeguard sensitiveinformation and systems. This paper conducts a thorough examination of next-generation firewalls (NGFWs) thatintegrate artificial intelligence (AI) te…
  crossref Sina Ahmadi 2024-01-03T00:02:44Z 置信度 0.70
• Sharing Identity with AI Systems: A Comprehensive Review
  Systems, including humans and artificial agents, are involved in a set of coordinated tasks. The technology becomes intertwined with an individual's identity in daily life. The concept explored here encapsulates the extended-self idea within social identity th…
  crossref Alina Gutoreva 2024-01-21T03:31:04Z 置信度 0.70
• Further Training in Industry 4.0 with AI Tutoring Systems - State of technology
  The rapid development of Artificial Intelligence (AI) is constantly opening new opportunities, particularly in training for the factory of the future. For employees, this not only means a significant advantage in the actual manufacturing process, but also in t…
  crossref 2024-09-26T12:01:16Z 置信度 0.70
• Big Bad Feelings: AI Depression Diagnosis and the Technopolitics of Disability
  As part of our collaboration with the DISCO Network, Jeff Nagy examines the growing use of AI technology in psychiatry, focusing on the intersection of depression, disability, and digital media and how algorithms and machine learning impact our relationship wi…
  crossref Zach Zinn 2024-02-06T16:34:51Z 置信度 0.70
• Advancing AI Literacy Among In-Service Humanities and STEM/Computer Science K–12 Teachers
  crossref Katherine Moore 2024-07-22T08:00:31Z 置信度 0.70
• INVESTIGATING THE EFFECTS OF GENERATIVE-AI RESPONSES ON USER EXPERIENCE AFTER AI HALLUCINATION
  The integration of generative artificial intelligence (GenAI) systems into our daily lives has led to the phenomenon of "AI hallucination," where AI produces convincing yet incorrect information, undermining both user experience and system credibility. This st…
  crossref Hayoen Kim 2024-03-28T08:18:40Z 置信度 0.70
• Pathways to Responsible Use of AI at Work - An organizational change perspective
  crossref 2024-09-26T12:01:16Z 置信度 0.70
• Unpacking AI Governance From the Margins
  This position paper pushes against policy panics engendered by generative AI technologies, arguing that regulation that centers experiences from the Global South requires a more intersectional and inclusive approach.
  crossref Shmyla Khan 2024-05-31T17:44:11Z 置信度 0.70
• AI and Creative Work
  The Creators’ Rights Alliance (CRA) is a coalition of 23 major creative organizations, trade associations, and unions, between them representing over 500,000 creator members and several million individuals working as creators in the United Kingdom’s creative i…
  crossref Seamus McGibbon, Nicola Solomon 2024-05-31T17:41:01Z 置信度 0.70
• AI Value Protocol: Utilizing Blockchain to Promote AI AIVP
  crossref Adel ELMessiry, Magdi El Messiry 2024-11-15T04:35:14Z 置信度 0.70
• AI-Driven Patient Recruitment Strategies
  Patient recruitment has been one of the significant issues that have affected clinical research for the following reasons: Over 80% of the trials suffer delays in the recruitment of patients for the clinical trials, and 30% of the trials do not recruit patient…
  crossref Vijitha Uppuluri 2025-06-16T12:07:58Z 置信度 0.70
• Art in the Age of Algorithms: A Creator’s Perspective on the Artistry of AI Image Generation
  crossref Kerstin Petrick 2024-10-10T17:02:05Z 置信度 0.70
• Scaling Security Incident Response with Generative AI
  The increasing complexity and advanced nature of cyber threats required a shift from the traditional methods of responding to incidents to sophisticated AI -driven approaches. This paper delves into incorporating Generative AI into security operations, highlig…
  crossref Varadharaj Varadhan Krishnan 2024-09-18T06:30:38Z 置信度 0.70
• Commonsense for AI: an interventional approach to explainability and personalization
  crossref Fariborz Farahmand 2024-11-09T10:44:04Z 置信度 0.70
• AI-driven robots discover record-setting laser compound
  Automated labs spread across the globe create, test, and assemble materials—no humans required
  crossref Robert F. Service 2024-05-16T17:59:46Z 置信度 0.70
• Written by AI, reviewed by AI, and published by AI - the human editor as the ultimate gatekeeper in publication ethics
  An exercise in AI driven publishing
  crossref Bor Luen Tang 2024-08-30T11:45:30Z 置信度 0.70
• Combinatorics in AI: Principles &amp; Algorithms An Extended Abstract
  Therein we describe a few cases where combinatorics appears in machine learning. The fundamental problem of learning is intimately connected to combinatorial geometry. The geometric invariant Vapnik-Chvronenkis dimension or VC-dimension [13], plays a crucial r…
  crossref Joseph R. Barr, Jon C Haass, Peter Shaw, Faisal N. Abu-Khzam 2024-12-03T18:55:24Z 置信度 0.70
• Future Shock: Generative AI and the International AI Policy and Governance Crisis
  Crisis 5 stakeholders from across industry, academia, government, and civil society, and from around the globe, had made concerted efforts to develop standards, policies, and governance mechanisms to ensure the ethical, responsible, and equitable production an…
  crossref David Leslie, Antonella Maia Perini 2024-05-31T18:06:40Z 置信度 0.70
• Emotional AI and Human-AI Interactions in Social Networking
  crossref 2023-08-25T02:09:06Z 置信度 0.70
• Data Science in Wissenschaft und Politikberatung
  crossref Carla Krolage 2024-02-15T08:02:17Z 置信度 0.70
• Intersymbolic AI
  Abstract This perspective piece calls for the study of the new field of Intersymbolic AI , by which we mean the combination of symbolic AI , whose building blocks have inherent significance/meaning, with subsymbolic AI , whose entirety creates significance/eff…
  crossref André Platzer 2024-10-25T08:02:14Z 置信度 0.70
• AI reveals how sperm sticks to egg during fertilization
  Two studies use software developed by some of this year’s Nobel winners to find elusive protein complex
  crossref Catherine Offord 2024-10-24T18:00:37Z 置信度 0.70
• AI in Green Financing: Catalyst for Change or Overstated Promise?
  The escalating imperative to combat climate change has magnified interest in green finance as a transformative strategy for promoting sustainability and reducing carbon emissions.Recent advances in artificial intelligence (AI) have brought forward the potentia…
  crossref Chukwuka Michael Oforgu 2024-12-09T06:31:31Z 置信度 0.70
• AI-Driven Global Sanctions Enhancement
  This thesis examines the integration of Artificial Intelligence (AI) into global sanctions management, a field currently dominated by manual processes and semi-automated systems that are inefficient and error-prone. With the increasing complexity and volume of…
  crossref Bing Hu 2024-07-08T02:18:52Z 置信度 0.70
• AI in the real world, AI in the movies
  This introductory chapter is divided into two parts. The first part outlines aspects of the science and philosophy of ‘real world’ artificial intelligence that are explored in the films in this book. Topics include definitions of intelligence, the Turing Test,…
  crossref Paula Murphy 2025-01-22T15:39:53Z 置信度 0.70
• Trust in Science During Global Challenges: The Pandemic and Trustworthy AI
  crossref Vlasta Sikimić 2024-12-18T18:06:56Z 置信度 0.70
• AI Learning through SUSY Field Theory
  We propose a SUSY-inspired loss framework to address the generalizationrobustness trade-off in AI. Combining bosonic and fermionic components, the loss ensures smooth learning and robustness against adversarial attacks. Parallel transport stabilizes weight upd…
  crossref Guman Garayev, Azar Alili 2024-10-25T00:41:13Z 置信度 0.70
• Revolutionizing Workplace Productivity with AI-Powered Meeting Automation
  This article explores Acta. ai, an innovative AI-driven solution for automating Minutes of Meeting (MOM). Leveraging automated transcription, real-time summaries and seamless integration with platforms like Slack, Jira and Teams, Acta. ai transforms the way pr…
  crossref Sarma BKP 2024-12-13T10:10:24Z 置信度 0.70
• Unraveling fundamental properties of power system resilience curves using unsupervised machine learning
  Power system is vital to modern societies, while it is susceptible to hazard events. Thus, analyzing resilience characteristics of power system is important. The standard model of infrastructure resilience, the resilience triangle, has been the primary way of …
  crossref Bo Li, Ali Mostafavi 2024-02-18T10:02:56Z 置信度 0.70
• Empowering Patients with AI-Driven Personalized Care: The Transformative Power of Generative AI and Healthcare Data Integration
  In an era of unprecedented technological advancement, generative artificial intelligence (AI) is poised to revolutionize healthcare, particularly in the realm of personalized patient care. This abstract explores how the integration of generative AI with compre…
  crossref Sivachandran Selvaraj 2024-07-14T02:42:01Z 置信度 0.70
• To save wildlife from fences, scientists turn to AI
  The research uses aerial imagery to pinpoint structures that could block migratory pronghorn and other wildlife
  crossref Christine Peterson 2024-08-22T17:59:05Z 置信度 0.70
• Childhood anaesthesia and autism risk: population and murine study
  Abstract Early childhood exposure to general anaesthesia has been linked to potential changes in infant brain morphology and behaviour in preclinical studies, contributing to long-term behaviours associated with autism spectrum disorder. This study investigate…
  crossref Mingyang Sun, Ningning Fu, Ting Li, Mengrong Miao 等 2024-09-24T12:53:17Z 置信度 0.70
• Next - Gen BI: Leveraging AI for Competitive Advantage
  Business Intelligence (BI) has, for most of the past, served to prepare organizations to make business decisions based on information.AI powers the BI today and has gone a step further to provide predictions about the business environment.This paper sought to …
  crossref Suman Chintala 2024-07-22T10:51:21Z 置信度 0.70
• AI for Water Policy
  crossref Manish Kumar Goyal, Sachidanand Kumar, Akhilesh Gupta 2024-10-05T15:01:32Z 置信度 0.70
• AI-Driven Advertising: Ethical Challenges, Frameworks, and Future Directions
  The evolution of digital advertising has movedfrom interactive and programmatic advertising toward AI-drivenintelligent advertising. AI, powered by big data, advanced com-putational capacities, and sophisticated algorithms, automates thecreation of personalize…
  crossref Alice Eriksson 2024-11-22T12:51:22Z 置信度 0.70
• AI Should be Augmented Intelligence
  crossref 2024-11-12T18:36:28Z 置信度 0.70
• The Ethics of Generative Ai in Social Science Research: A Qualitative Approach for Community-Based Ai Research Ethics
  crossref June Jeon, Lanu Kim, Jaehyuk Park 2024-04-04T18:17:49Z 置信度 0.70
• Autonomous bioisosteric replacement for multi-property optimization in drug design.
  Optimizing molecular properties while preserving biological activity is a central challenge in drug design. Bioisosteric replacement, which substitutes a molecular fragment with a chemically or biologically analogous moiety, offers a powerful strategy for fine…
  europepmc 2026 置信度 0.80
• Label-Free Targeted Proteomics Data Analysis Workflow Selection - Benchmarking AI-based and Data-Driven Approaches.
  As global proteomics continues to advance, the number of identifiable proteins has increased substantially. However, this does not inherently ensure optimal quantitative performance. While targeted assays using isotope-labeled peptides can be developed, label-…
  europepmc 2026 置信度 0.80
• Liver cirrhosis is associated with altered glucocorticoid metabolism related to disease severity.
  Background Liver cirrhosis (LC) is frequently complicated by adrenal dysfunction; however, whether cirrhosis drives the coordinated, pathway-specific reprogramming of cortisol metabolism remains unclear. Objectives We aimed to characterize axis-specific altera…
  europepmc 2026 置信度 0.80
• Diagnostic performance of an artificial intelligence algorithm for detecting pneumoperitoneum on abdominal CT scans.
  This study aims to evaluate the diagnostic performance of an artificial intelligence (AI) algorithm for detection, segmentation, and volumetric quantification of pneumoperitoneum on abdominal CT scans.
  pubmed Hu Y, Sun Z, Li H, Gao S 等 2026 置信度 0.82
• Knowledge, attitudes, practices and ethics related to artificial intelligence among nursing students: a national cross-sectional survey in China.
  Artificial intelligence (AI) is rapidly transforming healthcare. Current and future healthcare workforce, including nursing students, require sufficient understanding of responsible AI use. However, data about knowledge, attitudes, practices and ethics regardi…
  pubmed Fan HY, Zhou Q, Deng LL, Sun LL 等 2026 置信度 0.82
• Retinoic-Acid-Derived Ionizable Lipids Enable Spleen-Selective Antigen Expression for mRNA Cancer Vaccination.
  Effective mRNA cancer vaccination requires productive antigen expression in lymphoid antigen-presenting cells rather than high total antigen output. Here, we report a retinoic-acid-inspired ionizable lipid platform for spleen-selective functional mRNA expressi…
  europepmc 2026 置信度 0.80
• Multimodal Artificial Intelligence System for Risk-Adapted Cancer Survivorship Surveillance: A Multicenter Target Trial Emulation.
  Background The growing population of cancer survivors faces immense monitoring burdens due to rigid follow-up guidelines, such as the intensive surveillance schedules recommended by the National Comprehensive Cancer Network (NCCN). To address this issue, we en…
  europepmc 2026 置信度 0.80
• Deep Learning Enables Identification of Antimicrobial Peptides Through Mechanochromic Fingerprints.
  Antimicrobial peptides (AMPs) are promising antibiotic alternatives, but their diverse modes of action make functional classification slow and labor-intensive. Here we introduce a rapid and scalable strategy for AMP identification that integrates low-cost, sel…
  pubmed Chen J, Chin CL, Zhu Q, Chao L 等 2026 置信度 0.82
• An Integrated Raman Platform with Embedded AI for Intraoperative Real-Time Cancer Detection.
  Raman spectroscopy workflows are often fragmented across proprietary tools and ad hoc data-processing scripts, which slow decision-making and limit reproducibility and auditability. We present an integrated Raman platform with a Python-based GUI application th…
  pubmed Regmi D, Zhang Y, Wang H, Li Z 等 2026 置信度 0.82
• Linker-Engineered Dimeric Acceptors Afford Efficient Organic Photocatalytic Hydrogen Evolution via Tailored Nanomorphology for Long-Lived Charge Accumulation.
  Organic bulk-heterojunction (BHJ) nanoparticles are promising candidates for solar-to-hydrogen conversion. While the development of organic photocatalysts (OPCs) has leveraged advances in organic photovoltaics (OPVs), molecular design rules tailored to photoca…
  europepmc 2026 置信度 0.80
• AI for Accelerated Materials Discovery: From Generative Design to Autonomous Realization.
  Artificial intelligence (AI) is fundamentally transforming materials discovery, shifting the paradigm from labor-intensive trial-and-error approaches to data-driven, automated workflows. This review examines emerging AI methodologies for accelerated materials …
  europepmc 2026 置信度 0.80
• A systematic review of CBRN vs traditional mass casualty triage system in disaster management.
  Background Triage is crucial in disaster management for effective resource allocation, especially in dealing with chemical, biological, radiological, and nuclear (CBRN) events. Specialized triage techniques are needed due to the increased rate of CBRN disaster…
  europepmc 2026 置信度 0.80
• A Multimodal Generative AI Framework for Predicting the Toxicity of Nanoparticles.
  Predicting the cytotoxicity of engineered nanoparticles remains a significant challenge due to the vast combinatorial diversity of their physicochemical properties. In this study, we developed a multimodal generative framework to synthesize high-fidelity nanop…
  europepmc 2026 置信度 0.80
• AI-Assisted Spatial Metabolic Engineering in Plants: Integrating Flux Design, Spatial Omics, and Synthetic Biology.
  Background: Plant synthetic biology reprograms metabolic networks for the sustainable production of high-value compounds. Recent computational advances incorporate machine learning to accelerate the design-build-test-learn (DBTL) cycle, enabling more predictab…
  pubmed Chen H, Yang J, Du M 2026 置信度 0.82
• Memorizing the future: Encoding anticipated interactions enhances human memory for dynamic stimuli.
  Survival in nature requires responding to rapidly changing situations, where memory is crucial for fast and reliable decision-making. This work explores human memory modulation under the hypothesis that in dynamic scenarios critical information is encoded as s…
  europepmc 2026 置信度 0.80
• Artificial intelligence risk prediction model for common respiratory pathogens in China based on heterogeneous multi-source clinical and geographic data: A modeling study.
  Most respiratory pathogens exhibit distinct seasonal and periodic outbreak patterns driven by climatic factors. However, predictive models that jointly consider climate, air quality index (AQI), and socioeconomic variables are lacking. We retrospectively analy…
  europepmc 2026 置信度 0.80
• Critical Review on Microbial Inulinase Production: Emerging Strategies, AI-Driven Optimization, and Applications.
  Microbial inulinases are increasingly recognized as valuable biocatalysts for the sustainable production of high-value products, including fructooligosaccharides, fructose, bioethanol, and organic acids in industries, such as food, pharmaceuticals, and bioener…
  pubmed Dhande SS, Mankoskar NA, Panakkal HP, Gupta IR 等 2026 置信度 0.82
• AI-Driven Data Extraction and AGREE-Based Greenness Evaluation of Analytical Methods for Natural Products: Insights from Selected Studies.
  Large language models (LLMs) have evolved into versatile tools of the 21st century, simplifying repetitive and labor-intensive tasks in everyday life. Here, we aimed to test the feasibility of using different LLMs to assess the greenness of analytical procedur…
  europepmc 2026 置信度 0.80
• XHIC-Net: An Explainable Hybrid Involution-Convolution Network for Blood Smear Cell Morphology Classification.
  Accurate morphological analysis of blood smears is vital for hematological diagnosis, yet manual examination is labor-intensive and subjective. While deep learning offers automation, its black-box nature and computational demands often hinder clinical trust an…
  pubmed Ahmad I, Khan MS, Alruwaili O 2026 置信度 0.82
• Exploring EFL Students' Perceived Changes in Emotional Engagement and Perceptual Skills After Prolonged Use of AI-Based Tools: A Qualitative Study.
  Recently, the use of different forms of Artificial Intelligence (AI) have been highlighted in second/foreign language (L2) education. However, the psycho-affective consequences of using such tools for a long period of time have received insufficient scholarly …
  europepmc 2026 置信度 0.80