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• Evolutionary autonomous agents: A neuroscience perspective
  openalex Eytan Ruppin 2002-02-01 置信度 0.72 Perspective (graphical)NeuroscienceCognitive scienceBrain functionFunction (biology)
• Proceedings of the 9th International Conference on Autonomous Agents and Multi-Agent Systems
  openalex Paul Martín, David Robertson, Michael Rovatsos 2010-01-01 置信度 0.72 Multi-agent systemComputer scienceArtificial intelligence
• Proceedings of the 11th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-2012)
  openalex Hendrik Prakken, E.W. Kok, John-Jules Meyer, Gerard A. W. Vreeswijk 2012-01-01 置信度 0.72 Multi-agent systemComputer scienceJoint (building)Autonomous agentEngineering
• Autonomous Agents and Multi-Agent Systems
  openalex Jiming Liu 2001-08-01 置信度 0.72 Multi-agent systemComputer scienceAutonomous agentArtificial intelligence
• Chaotic Neurodynamics for Autonomous Agents
  Mesoscopic level neurodynamics study the collective dynamical behavior of neural populations. Such models are becoming increasingly important in understanding large-scale brain processes. Brains exhibit aperiodic oscillations with a much more rich dynamical be…
  openalex Derek Harter, Róbert Kozma 2005-05-01 置信度 0.72 Computer scienceAperiodic graphDynamical systems theoryChaoticLimit cycle
• Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012)
  openalex Stefano V. Albrecht, Ram Ramamoorthy 2012-01-01 置信度 0.72 Autonomous agentComputer scienceMulti-agent systemArtificial intelligence
• Generalization of Linear Cyclic Pursuit With Application to Rendezvous of Multiple Autonomous Agents
  Cyclic pursuit is a simple distributed control law in which agent i pursues agent i+1 modulo n. We generalize existing results and show that by selecting the gains of the agents, the point of convergence of these agents can be controlled. The condition for con…
  openalex Arpita Sinha, D. Gho 2006-11-01 置信度 0.72 RendezvousConvergence (economics)GeneralizationModuloSequence (biology)
• Molecular autonomous agents
  I consider an autonomous agent to be a physical system able to act on its own behalf, such as a bacterium swimming up a glucose gradient. I tentatively define an autonomous agent to be a system capable of self-reproduction and at least capable of performing on…
  openalex Stuart Kauffman 2003-05-07 置信度 0.72 Computer scienceWork (physics)Autonomous agentAutonomous system (mathematics)Biochemical engineering
• A Case Study in the Behavior-Oriented Design of Autonomous Agents
  The paper documents a case study in the design and implementation of a robotic multi-agent system. It illustrates known design guidelines, namely that the physics of the environment must be exploited, that behavior is the result from the interaction dynamics b…
  openalex Luc Steels 1994-07-27 置信度 0.72 Computer science
• Socially intelligent reasoning for autonomous agents
  Socially intelligent agents are autonomous problem solvers that have to achieve their objectives by interacting with other similarly autonomous entities. A major concern, therefore, is with the design of the decision-making mechanism that such agents employ in…
  openalex Lisa Hogg, Nicholas R. Jennings 2001-01-01 置信度 0.72 Mechanism (biology)Computer scienceAutonomous agentResource (disambiguation)Artificial intelligence
• Persuasive Negotiation for Autonomous Agents: A Rhetorical Approach
  Persuasive negotiation occurs when autonomous agents exchange proposals that are backed up by rhetorical arguments (such as threats, rewards, or appeals). The role of such rhetorical arguments is to persuade the negotiation opponent to accept proposals more re…
  openalex Sarvapali D. Ramchurn, Nicholas R. Jennings, Carles Sierra 2003-01-01 置信度 0.72 Rhetorical questionPersuasionNegotiationArgument (complex analysis)Context (archaeology)
• Simulating Autonomous Agents in Augmented Reality
  In many critical applications such as airport operations (for capacity planning), military simulations (for tactical training and planning), and medical simulations (for the planning of medical treatment and surgical operations), it is very useful to conduct s…
  openalex Erol Gelenbe, Khaled F. Hussain, Varol Kaptan 2008-04-02 置信度 0.72 Augmented realityComputer scienceHuman–computer interactionAction (physics)Artificial intelligence
• Finite-Time Rendezvous Algorithms for Mobile Autonomous Agents
  This technical note focuses on finite-time rendezvous problems which refer to agreement on states in finite time within certain available information range. Using semistability theory for discontinuous dynamical systems, we develop a framework for designing fi…
  openalex Qing Hui 2010-10-19 置信度 0.72 RendezvousConvergence (economics)Computer scienceFinite-state machineController (irrigation)
• Team Structure and Team Building Improve Human–Machine Teaming With Autonomous Agents
  Research suggests that humans and autonomous agents can be more effective when working together as a combined unit rather than as individual entities. However, most research has focused on autonomous agent design characteristics while ignoring the importance o…
  openalex James C. Walliser, Ewart J. de Visser, Eva Wiese, Tyler H. Shaw 2019-08-09 置信度 0.72 TeamworkPsychological interventionTask (project management)Affect (linguistics)Team effectiveness
• Autonomous Agents for Participating in Mulitple On-line Auctions
  The increasing number of online auctions poses a big challenge to e-consumers, especially to those who are actively looking for good deals. In this paper, we present the deisgn of an autonomous agent that can alleviate some of these problems by participating a…
  openalex Patricia Anthony, William P. Hall, Viet Dung Dang, Nicholas R. Jennings 2001-01-01 置信度 0.72 Common value auctionBiddingComputer scienceForward auctionAutonomous agent
• A Roadmap of Agent Research and Development
  openalex Nicholas R. Jennings, Katia Sycara, Michael Wooldridge 1998-03-01 置信度 0.72 Computer scienceField (mathematics)Open researchContext (archaeology)Key (lock)
• Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
  Autonomous driving has attracted significant research interests in the past two decades as it offers many potential benefits, including releasing drivers from exhausting driving and mitigating traffic congestion, among others. Despite promising progress, lane-…
  arxiv Wei Zhou, Dong Chen, Jun Yan, Zhaojian Li 等 2021-11-11T17:17:24Z 置信度 0.78 cs.LGcs.MA
• A Language Agent for Autonomous Driving
  Human-level driving is an ultimate goal of autonomous driving. Conventional approaches formulate autonomous driving as a perception-prediction-planning framework, yet their systems do not capitalize on the inherent reasoning ability and experiential knowledge …
  arxiv Jiageng Mao, Junjie Ye, Yuxi Qian, Marco Pavone 等 2023-11-17T18:59:56Z 置信度 0.78 cs.CVcs.AIcs.CLcs.RO
• Control Strategies for Autonomous Vehicles
  This chapter focuses on the self-driving technology from a control perspective and investigates the control strategies used in autonomous vehicles and advanced driver-assistance systems from both theoretical and practical viewpoints. First, we introduce the se…
  arxiv Chinmay Vilas Samak, Tanmay Vilas Samak, Sivanathan Kandhasamy 2020-11-17T16:04:39Z 置信度 0.78 cs.ROeess.SY
• Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLA
  Autonomous Vehicles (AVs) i.e., self-driving cars, operate in a safety critical domain, since errors in the autonomous driving software can lead to huge losses. Statistically, road intersections which are a part of the AVs operational design domain (ODD), have…
  arxiv Zaid Tahir, Rob Alexander 2021-12-24T02:56:56Z 置信度 0.78 cs.ROcs.AIcs.MAcs.SE
• Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments
  Motion planning of autonomous agents in partially known environments with incomplete information is a challenging problem, particularly for complex tasks. This paper proposes a model-free reinforcement learning approach to address this problem. We formulate mo…
  arxiv Junchao Li, Mingyu Cai, Zhen Kan, Shaoping Xiao 2023-04-30T19:57:39Z 置信度 0.78 cs.AIcs.FLcs.MAcs.ROeess.SY
• Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures
  This paper presents fast non-sampling based methods to assess the risk for trajectories of autonomous vehicles when probabilistic predictions of other agents' futures are generated by deep neural networks (DNNs). The presented methods address a wide range of r…
  arxiv Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams 2021-09-21T05:55:39Z 置信度 0.78 cs.LGcs.AIcs.RO
• Empathic Autonomous Agents
  Identifying and resolving conflicts of interests is a key challenge when designing autonomous agents. For example, such conflicts often occur when complex information systems interact persuasively with humans and are in the future likely to arise in non-human …
  arxiv Timotheus Kampik, Juan Carlos Nieves, Helena Lindgren 2019-02-20T21:12:44Z 置信度 0.78 cs.MA
• Autonomous and non-autonomous fixed-time leader-follower consensus for second-order multi-agent systems
  This paper addresses the problem of consensus tracking with fixed-time convergence, for leader-follower multi-agent systems with double-integrator dynamics, where only a subset of followers has access to the state of the leader. The control scheme is divided i…
  arxiv Miguel A. Trujillo, Rodrigo Aldana-López, David Gomez Gutierrez, Michael Defoort 等 2026-02-18T08:16:42Z 置信度 0.78 eess.SYmath.DSmath.OC
• Deep Reinforcement Learning framework for Autonomous Driving
  Reinforcement learning is considered to be a strong AI paradigm which can be used to teach machines through interaction with the environment and learning from their mistakes. Despite its perceived utility, it has not yet been successfully applied in automotive…
  arxiv Ahmad El Sallab, Mohammed Abdou, Etienne Perot, Senthil Yogamani 2017-04-08T20:04:03Z 置信度 0.78 stat.MLcs.LGcs.RO
• Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU
  Self-driving vehicles and autonomous ground robots require a reliable and accurate method to analyze the traversability of the surrounding environment for safe navigation. This paper proposes and evaluates a real-time machine learning-based Traversability Anal…
  arxiv Daniel Fusaro, Emilio Olivastri, Daniele Evangelista, Marco Imperoli 等 2022-06-07T07:57:34Z 置信度 0.78 cs.ROcs.CV
• Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning
  The capability to learn and adapt to changes in the driving environment is crucial for developing autonomous driving systems that are scalable beyond geo-fenced operational design domains. Deep Reinforcement Learning (RL) provides a promising and scalable fram…
  arxiv Praveen Palanisamy 2019-11-11T10:55:25Z 置信度 0.78 cs.LGcs.AIcs.MAcs.ROstat.ML
• On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation
  Inferring the depth of images is a fundamental inverse problem within the field of Computer Vision since depth information is obtained through 2D images, which can be generated from infinite possibilities of observed real scenes. Benefiting from the progress o…
  arxiv Raul de Queiroz Mendes, Eduardo Godinho Ribeiro, Nicolas dos Santos Rosa, Valdir Grassi 2020-10-13T18:37:38Z 置信度 0.78 cs.CVcs.LGcs.RO
• Embedding Autonomous Agents in Resource-Constrained Robotic Platforms
  Many embedded devices operate under resource constraints and in dynamic environments, requiring local decision-making capabilities. Enabling devices to make independent decisions in such environments can improve the responsiveness of the system and reduce the …
  arxiv Negar Halakou, Juan F. Gutierrez, Ye Sun, Han Jiang 等 2026-01-07T18:57:32Z 置信度 0.78 cs.ROcs.AI
• Space Debris Removal using Nano-Satellites controlled by Low-Power Autonomous Agents
  Space debris is an ever-increasing problem in space travel. There are already many old, no longer functional spacecraft and debris orbiting the earth, which endanger both the safe operation of satellites and space travel. Small nano-satellite swarms can addres…
  arxiv Dennis Christmann, Juan F. Gutierrez, Sthiti Padhi, Patrick Plörer 等 2026-01-01T20:28:17Z 置信度 0.78 cs.RO
• Autonomous Self-Explanation of Behavior for Interactive Reinforcement Learning Agents
  In cooperation, the workers must know how co-workers behave. However, an agent's policy, which is embedded in a statistical machine learning model, is hard to understand, and requires much time and knowledge to comprehend. Therefore, it is difficult for people…
  arxiv Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa, Michita Imai 2018-10-20T14:25:53Z 置信度 0.78 cs.AI
• Artificial general intelligence and the clinical laboratory: a paradigm shift toward Lab 2.0.
  Clinical laboratory medicine faces converging structural pressures: workforce shortages, growing data complexity, and rapid advances in artificial intelligence (AI). Some prominent developers, including Demis Hassabis of Google DeepMind, have projected the arr…
  pubmed Yuji K, Yuji W 2026 Jul 6 置信度 0.82
• Artificial Intelligence-Mediated Discharge Document for Accessible Health Care (AIM-HEALTH): Protocol for a Prospective, Observational, Noninterventional Study.
  Hospital discharge reports (HDRs) support continuity of care; yet, their specialized terminology may hinder patient understanding and postdischarge self-management, particularly among individuals with limited health literacy (HL).
  pubmed Pelizzari N, Savardi M, Arrigoni L, Gregori M 等 2026 Jul 3 置信度 0.82
• DiscoVerse: multi-agent pharmaceutical co-scientist for traceable drug discovery and reverse translation.
  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…
  pubmed Zheng X, Serra A, Chernov IS, Marchesi M 等 2026 置信度 0.82
• Agentic AI for Structural Elucidation and Discovery of Drug Metabolites from Mass Spectrometry Data.
  The majority of chemical signals detected in public metabolomics repositories remain structurally undefined. Large language models (LLMs) are probabilistic systems whose capacity to generate outputs beyond their training data, which can cause hallucinations, m…
  pubmed Wang X, Patan A, Zhao HN, Charron-Lamoureux V 等 2026 Jun 26 置信度 0.82
• LLMs for Healthcare Process Orchestration: Promises and Challenges.
  Healthcare processes combine stable workflow segments with open, case-dependent work. This makes the use of large language models (LLMs) and more autonomous AI systems less a question of technical capability alone than of orchestration: different degrees of AI…
  pubmed Sariyar M 2026 Jun 29 置信度 0.82
• From Idea to Data: An Agentic Architecture for the Clinical Trial Life Cycle.
  Clinical research involves complex, fragmented workflows across the clinical trial life cycle. We present a multi-agent system designed to support researchers across multiple stages of this life cycle, from trial preparation to translation. The proposed system…
  pubmed Heinig SN, Rönnefarth M, Ehret J, Ruhm L 等 2026 Jun 29 置信度 0.82
• DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI.
  Trustworthiness and transparency are essential for the clinical adoption of artificial intelligence (AI) in healthcare and biomedical research. Recent deep research systems aim to accelerate evidence-grounded scientific discovery by integrating AI agents with …
  pubmed Wang Z, Wei CH, Chan J, Leaman R 等 2026 Apr 16 置信度 0.82
• GLLaucoMed: A Secure LLM-Powered Agentic Workflow for Automated Medication Extraction from Free-Text Glaucoma Clinical Notes.
  To evaluate the efficacy of large language models (LLMs) in extracting medication-related information from glaucoma clinical notes in the electronic health record (EHR).
  pubmed Solages N, Scherer R, Samico GA, Gutkind NE 等 2026 Jun 15 置信度 0.82
• Hard to Halt: Automation Bias in Agent-Driven Sequencing Prior Authorization Workflows.
  Prior authorization (PA) for exome or genome sequencing is a time-consuming process that impedes timely rare disease diagnosis. Large language model-based browser agents offer potential for automating these workflows, but their clinical reliability remain unch…
  pubmed Nie M, Chung W, Waxler J, Lee M 等 2026 Jun 18 置信度 0.82
• The allegory of the cave: 10 years of AI shadows in radiology.
  More than two millennia ago, Plato's Allegory of the Cave illustrated how humans may mistake shadows for reality. Over the last decade, radiology has experienced a similar phenomenon with Artificial Intelligence (AI). Early narratives, often promoted by opinio…
  pubmed Martín-Noguerol T, López-Úbeda P, Luna A 2026 Jun 27 置信度 0.82
• Modular Framework for Responsive and Explainable Robotic Assistance with Intention Prediction Using Human-Centric Digital Twins.
  Proactive robotic assistance in human-robot collaboration (HRC) requires systems that can perceive evolving task contexts, anticipate user needs, and intervene appropriately without disrupting human workflow. We present the Agentic Unified Robotic Assistance (…
  pubmed Asad U, Khalid A, Lughmani WA, Rasheed S 等 2026 Jun 15 置信度 0.82
• A conceptual agentic AI architecture for MASLD-associated significant fibrosis in primary care.
  Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent yet often underdiagnosed or undertreated in primary care due to asymptomatic early disease, uneven uptake of non‑invasive tests, limited elastography access, competing …
  pubmed Njei B, Kanmounye US 2026 Jun 置信度 0.82
• Greater than the sum of our parts: The new division of labor in design with AI.
  Design is how humans change the world, and in the age of AI it is increasingly a joint activity between humans and machines. This perspective argues that AI does not simply add new tools to the designer's repertoire; it has the capability to reorganize the div…
  pubmed Menold J, McComb C, Tucker C, Papalambros P 2026 Jun 置信度 0.82
• [Keeping track of things: large language models for patient synopses : Source-bound system for clinical information systems].
  The increasing documentation burden in electronic health records makes it difficult to obtain a rapid overview of relevant prior information in complex disease courses. Especially in highly digitized settings such as radiology and interdisciplinary case c…
  pubmed Arnold P, Jahn J, Bamberg F, Kotter E 2026 Aug 置信度 0.82
• An agentic AI framework for integrated decision support and surgical planning in intracerebral hemorrhage.
  Intracerebral hemorrhage (ICH) remains associated with high mortality and treatment variability. Current workflows rely on fragmented imaging interpretation and operator-dependent surgical planning.
  pubmed Kochuiev E, Kaliuzhka V, Markevych M, Kochuieva Z 等 2026 Jun 23 置信度 0.82
• Aitomia: An Agentic Framework for AI-Driven Atomistic and Quantum Chemical Simulations.
  We present Aitomia, an agentic framework for AI-driven atomistic and quantum chemical (QC) simulations that helps experts and nonexperts alike set up and run calculations, analyze results, and summarize them in textual and graphical forms through natural langu…
  pubmed Hu J, Nawaz H, Hou YF, Chi L 等 2026 Jul 14 置信度 0.82
• Evaluating agentic AI for biological discovery in autonomous and copilot settings.
  Advances in large language models (LLMs)-based artificial intelligence (AI) agents have improved their ability to execute structured analytical workflows, including standard bioinformatic pipelines for biological discovery. However, computational biology rarel…
  pubmed Johri S, Pimenta E, Yates J, Fu J 等 2026 Jun 9 置信度 0.82
• Evidence-based AI: from trailblazer to trustblazer?
  Agentic AI systems can plan, call tools, and coordinate specialized sub-agents, enabling multi-step scientific workflows that exceed what single-model text generation can reliably deliver. Yet in high-stakes domains such as regulatory science and toxicology, f…
  pubmed Luechtefeld T, Hartung T 2026 置信度 0.82
• A Secure Sandbox Environment for Orchestrating Medical AI Agents Using Model Context Protocols and Role-Based Access Control.
  The evolution of Large Language Models into autonomous agents presents significant opportunities for healthcare, yet no secure environment exists to experiment with these tools in clinical settings. Current agentic systems are unsuitable due to insufficient se…
  pubmed Armstrong SE, Klusty MA, Vaiden Logan W, Leach CN 等 2026 置信度 0.82
• Are artificial intelligence (AI) agents ready for medicine and biomedical research? A narrative review.
  Artificial intelligence (AI) agents extend large language models from single-turn text generation to systems that pursue goals through planning, retrieval, tool use, code execution, memory, feedback, and role coordination. In medicine and biomedical research, …
  pubmed Ahn S 2026 置信度 0.82
• AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org.
  Agentic AI systems increasingly connect large language models (LLMs) to external scientific tools, yet whether and when tool access improves prediction accuracy remains uncharacterized. We present AGAPI (AtomGPT.org API), an open-access platform integrating ei…
  pubmed Lee J, Ely J, Zhang K, Ajith A 等 2026 Jul 2 置信度 0.82
• A brave new world: the rise of agentic AI in rapid cycle RWE analytics.
  Real-world evidence (RWE) has become a critical asset across drug discovery and market access, with regulators accepting evidence from real-world data (RWD) to supplement negotiations. With increasing demand for rapid RWE generation across the product lifecycl…
  pubmed Lee WC, Mankin B, Hood D 2026 Jul 置信度 0.82
• Viral Sentry AI-Automated zoonotic surveillance and drug repurposing agent.
  Zoonotic viruses capable of jumping from animal reservoirs into human populations represent a persistent and unpredictable menace to global health. To confront this challenge, we developed Viral Sentry AI, an autonomous agent designed to close the gap between …
  pubmed Munteanu CR, Vázquez-Naya J, Tejera E 2026 置信度 0.82
• Agentic Authoring of OMOP Concept Sets from Natural Language.
  Authoring OMOP concept sets from free-text descriptions remains a major bottleneck in scalable computable phenotyping for observational research. Existing tools support parts of this workflow but are designed primarily for interactive expert use rather than au…
  pubmed Chen H, He X, Dai H, Huang Y 等 2026 Jun 3 置信度 0.82
• Use of AI agents to assess preoperative frailty in cancer patients.
  Assessment of preoperative frailty is essential for risk stratification and optimization of patients undergoing major abdominal surgery for hepatobiliary (HPB) and gastrointestinal (GI) malignancies. Large language model (LLM)-based agents may facilitate autom…
  pubmed Lee DT, Yen S, Smits G, Matteson DS 等 2026 置信度 0.82
• Agentic Artificial Intelligence for the Automated Generation of Accurate Summary Podcasts of Radiology Research Papers.
  To evaluate whether a custom agentic artificial intelligence (AI) pipeline can overcome the limitations of general-purpose large language model tools, when compared with a generic commercial tool (Google NotebookLM [NBLM]), for generating podcast-style summari…
  pubmed Lee JH, Gu K, Shin J, Min JH 等 2026 Jul 置信度 0.82
• Optimizing genomics-aware clinical agents in precision oncology.
  Agentic systems are proposed for clinical decision support, yet unrestricted tool access can undermine accountability and safety in precision oncology, where recommendations must be grounded in evolving guidelines, regulatory labels, and patient-specific molec…
  pubmed Das R, Maheswari K, Siddiqui S, Nanshi J 等 2026 Jun 5 置信度 0.82
• Agentic AI in Dermatology: A Call to Action.
  Artificial intelligence (AI) tools are shifting from passive, user-initiated tools to proactive agentic AI systems that are capable of autonomous, multi-step actions. These agents can independently gather information, execute sequential tasks, and collaborate …
  pubmed Chu B, Shen H, Lee I, Lipoff JB 2026 Jun 5 置信度 0.82
• [Artificial intelligence in molecular pathology : Introduction and overview].
  Over the past approximately 15 years, pathology has undergone a significant transformation, accompanied by increasing mechanization, technological advancement, and digitization within the field. Molecular pathology plays a significant role in th…
  pubmed Kazdal D, Budczies J, Menzel M, Altbürger C 等 2026 Jul 置信度 0.82
• Artificial intelligence in cardio-kidney-metabolic care: Transforming integrated disease management through data-informed innovation.
  Artificial intelligence (AI) is rapidly transforming the landscape of chronic medical conditions, such as cardio-kidney-metabolic (CKM) issues linked to type 2 diabetes and obesity. It creates new opportunities to shift from reactive to proactive, data-driven …
  pubmed Young CF, MacLeod J 2026 Jun 1 置信度 0.82
• Execution-bound advisory automation for agentic AI: a reproducible AIBOM-driven CSAF-VEX framework.
  Agentic AI systems integrate foundation models, prompt templates, tool connectors, orchestration logic, and containerised dependencies, creating exploitability conditions that cannot be inferred from static Software Bills of Materials (SBOMs). Artificial Intel…
  pubmed Radanliev P, Santos O, Maple C, Atefi K 2026 置信度 0.82
• Artificial Intelligence in Project Management: Challenges, Strategies and Best Practices.
  The application of Artificial Intelligence (AI) in project management is transforming decision-making processes, enhancing task execution, and improving risk management. This study aimed to elucidate the challenges raised by AI in project management (PM) using…
  pubmed Mogbojuri A, Obiseye O, Wali A, Dewa M 2025 置信度 0.82
• Building MCP-native hierarchical AI scientist ecosystems: a perspective on scaling multi-agent scientific discovery.
  Large language models (LLMs) are evolving from chatbots with limited tool-using capabilities to agentic AI systems that can perform deep research, assist in proposing hypotheses, help design experiments, automate data analysis, and draft scientific reports. Ho…
  pubmed Yue L, Ko CY, Chen PY, Di S 等 2026 置信度 0.82
• Artificial intelligence (AI) agents assemble: The new age of AI agentic workflows and their clinical applications.
  pubmed Kim YH, Rios-Duarte JA, Vidal NY 2026 May 26 置信度 0.82
• Explainable Agentic Artificial Intelligence in Healthcare: A Scoping Review.
  Agentic artificial intelligence (AI) systems, characterized by autonomous goal-directed behavior, multi-step reasoning, task decomposition, and tool use, are increasingly proposed for healthcare applications. However, their autonomy raises concerns regarding t…
  pubmed Collaco BG, Prabha S, Gomez-Cabello CA, Haider SA 等 2026 Apr 28 置信度 0.82
• Automating collateral histories in dementia: Development and proof‑of‑concept evaluation of the LUMEN conversational AI.
  Collateral histories from carers are central to dementia diagnosis but are often collected inconsistently and variably documented. With rising demand on memory services and the emergence of disease-modifying therapies requiring timely diagnosis, there is incre…
  pubmed Harrison JR, Robertson A, Tang SL, Kaur L 等 2026 May 25 置信度 0.82
• Comparative review of artificial intelligence for transcriptomic biomarker discovery in coronavirus disease 2019 (COVID-19).
  The Coronavirus Disease 2019 (COVID-19) pandemic has highlighted the significance of reliable molecular biomarkers in clinical use. Despite the popularity of traditional statistical approaches, the high dimensionality of transcriptomic data presents challenges…
  pubmed Khoo LY, Dhillon SK 2026 May 4 置信度 0.82
• MechAInistic: A Reviewer-Supervised Multi-Agent LLM System for Auditable Mechanistic Drug-Hypothesis Generation.
  LLM agents are increasingly used for scientific reasoning, but their fluent-sounding outputs can diverge from verifiable computational evidence, limiting their reliability for biomedical hypothesis generation. We developed MechAInistic, a multi-agent system in…
  pubmed Loecker J, Pujara N, Bryant W, Puniya BL 等 2026 Jul 22 置信度 0.82
• MethylCurate: Tool for Dataset Curation and Epigenetic Aging Clock Evaluation.
  DNA methylation datasets from public repositories such as NCBI Gene Expression Omnibus are central to the development and evaluation of epigenetic aging clocks, yet existing resources and tools do not fully resolve the bottlenecks of dataset retrieval and meta…
  pubmed Edwards TA, Long Q, Shen L 2026 May 14 置信度 0.82
• A Risk Analysis Tool for Medical Studies.
  Clinical research studies face substantial operational and methodological challenges that compromise quality and reproducibility. Traditional risk assessment requires specialized expertise and significant time investment, creating barriers for research teams. …
  pubmed Cotorobai A, Paradinha R, Silva JM, Almeida JR 等 2026 May 21 置信度 0.82
• Pharmacovigilance Assistant: An Agentic Workflow for Reproducible Drug Safety Summaries.
  We present an agentic workflow that converts heterogeneous safety evidence into concise, reproducible drug summaries. While automated FAERS summarization, retrieval-augmented generation, and tool-driven agents exist in isolation, our contribution lies in their…
  pubmed Calle X, Mendez N, Garin-Muga A 2026 May 21 置信度 0.82
• Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation.
  We present a multi-agentic workflow for critical materials recovery that deploys a series of AI agents and automated instruments to recover critical materials from produced water and magnet leachates. This approach achieves selective precipitation from real-wo…
  pubmed Ritchhart A, Allec SI, Butreddy P, Kulesa K 等 2026 Jul 20 置信度 0.82
• MARRVEL-MCP: An agentic interface for Mendelian disease discovery via tool-augmented context engineering.
  Variant interpretation in rare diseases requires navigating multiple genomic databases, each with strict input formats, while synthesizing heterogeneous evidence. This process creates significant barriers for non-experts and imposes a substantial cognitive bur…
  pubmed Everton Z, Botas J, Kim SY, Yao L 等 2026 Jun 4 置信度 0.82
• Artificial Intelligence for Materials Science: Transforming Research Paradigms.
  The evolution of materials science is undergoing a profound paradigm shift driven by artificial intelligence (AI), transitioning from traditional intuition-driven trial-and-error to an accelerated, data-centric, and algorithmically guided discipline. This revi…
  pubmed Li Y, Wang S, Wang J, Qian L 等 2026 Jun 10 置信度 0.82
• spatiAlytica: Viewer-Grounded Multimodal Agentic System for Interactive Spatial Omics Analysis.
  Spatial transcriptomics and proteomics map tissue architecture and cellular interactions, but analysis remains limited by programming demands and text-centered AI agents that lack viewer grounding and cross-turn context. We present spatiAlytica, a viewer-centr…
  pubmed Das A, Zhang K, Song J, Han M 等 2026 May 4 置信度 0.82
• Interpreting Omics Data Analysis with Large Language Models for Disease Target and Drug Discovery.
  In biomedical scientific discovery, synthesizing prior knowledge from the literature is an essential component of interpreting numerical omics data analyses for disease target identification and drug discovery. Large language models (LLMs) alone can rapidly re…
  pubmed Xu Z, Chen W, Ren W, Xu T 等 2026 May 22 置信度 0.82
• Agentic Artificial Intelligence in Medical Imaging Education: Architectural Autonomy and the Risk of Cognitive Surrender.
  As agentic artificial intelligence systems become increasingly embedded in medical imaging, practice is moving from episodic decision support to workflow-based architectures that alter how practitioners think and practise. Medical imaging practice is tradition…
  pubmed Hayes J 2026 May 17 置信度 0.82
• QUASAR: A Universal Autonomous System for Atomistic Simulation and a Benchmark of Its Capabilities.
  The integration of large language models (LLMs) into materials science offers a transformative opportunity to streamline computational workflows, yet current agentic systems remain constrained by rigid, carefully crafted domain-specific tool-calling paradigms …
  pubmed Yang F, Evans JD 2026 May 25 置信度 0.82
• Ethical issues in multi-agent AI systems for healthcare: a narrative review.
  Multi-agent AI systems are believed to bring significant improvements in digital health, but it also brings new and more serious ethical issues. Such systems distribute the decision-making process among multiple interacting agents, and this decentralized decis…
  pubmed Xie Z, Wang H, Dai L, Wang Z 等 2026 置信度 0.82
• When Chatbots Become Agents: The Next Phase of Healthcare AI.
  Healthcare artificial intelligence (AI) has moved beyond answering medical questions. In early 2026, OpenAI, Anthropic, and Google launched agentic systems that retrieve evidence, use tools, and execute multi-step workflows. These systems can integrate informa…
  pubmed Karunanayake N 2026 May 13 置信度 0.82
• Designing Agentic Workflows in Healthcare Informatics: Challenges and Insights from a Student Perspective.
  Agentic workflows based on large language models (LLMs) are increasingly explored in healthcare, yet their design raises challenges related to control and predictability. This study therefore examines students' experiences designing agentic workflows in health…
  pubmed Radits M, Hirsch K, Jirout C, Rafailovic M 等 2026 May 7 置信度 0.82
• Exploring the Concept of an AI-Enabled Multi-Agentic Workflow to Support Telehealth Disease Management.
  While telehealth disease management programmes have demonstrated effectiveness, they are often resource-intensive and can face challenges in scaling sustainably.
  pubmed Reinisch V, Kreiner K, Dapunt V, Schreier G 2026 May 7 置信度 0.82
• Foundation models in computational pathology: methods, applications and clinical implications.
  The digitisation of histopathology has accelerated the application of artificial intelligence (AI) to cancer diagnosis and precision oncology; however, most deployed AI systems remain narrowly task-specific and difficult to translate across diverse clinical en…
  pubmed Sali R, Aschenaki Y, Leveillee R, Baba F 等 2026 置信度 0.82
• Glass-box agentic-style workflow for multiclass cine cardiac magnetic resonance imaging classification with a large language model.
  To develop and evaluate a glass-box, agentic-style radiology pipeline that separates perception from reasoning for auditable multiclass diagnosis on cine cardiac magnetic resonance imaging (MRI), and to quantify accuracy, robustness across decoding temperature…
  pubmed Mese I, Kocak B 2026 May 11 置信度 0.82
• Computational paradigms for antimicrobial resistance prediction: integrating multi-omics, structural modeling, and foundation artificial intelligence systems.
  Antimicrobial resistance (AMR) poses an escalating threat to global health, as multidrug-resistant pathogens undermine therapeutic efficacy and surveillance systems. Although whole-genome sequencing and phenotypic drug susceptibility testing have strengthened …
  pubmed Hossain E, Yousefi N 2026 May 4 置信度 0.82
• Rethinking scale in ophthalmic artificial intelligence: from bigger models to smarter clinical reasoning.
  Recent advances in ophthalmic AI have improved benchmark performance, yet clinical trust remains limited. We argue that progress should move beyond data and model scaling toward trustworthy, skill-efficient systems that integrate multimodal evidence, external …
  pubmed Jin K, Zhao K, Agrawal R, Ying GS 等 2026 May 10 置信度 0.82
• Physician-Reported Safety Outcomes of AI-Generated Hospital Course Summaries.
  High-quality discharge summaries are essential for safe care transitions but contribute substantially to clinician documentation burden and burnout. While retrospective studies suggest that large language models (LLMs) can generate clinical summaries of compar…
  pubmed Grolleau F, Liang AS, Keyes T, Ma SP 等 2026 May 1 置信度 0.82
• Small Language Models for Developing Agentic AI in Healthcare: A Comprehensive Systematic Review and Critical Analysis.
  Agentic artificial intelligence (AI) systems are emerging as a transformative approach in healthcare, enabling autonomous task execution through integrated reasoning and tool use. While early implementations have largely relied on large language models (LLMs),…
  pubmed Khalpey Z, King N, Abraham A 2026 Apr 置信度 0.82
• SIMBA: an agentic AI platform for single-molecule multidimensional imaging.
  Advances in multi-dimensional imaging method and probe developments have brought super-resolution fluorescence microscopy into a functional era. They capture additional single-molecule fluorescence information concurrently with spatial localization, enabling s…
  pubmed Mao H, Mauny H, KanchanadeviVenkataraman O, Laplante C 等 2026 Apr 21 置信度 0.82
• PKGPT: Expert-Orchestrated Recursive LLM Agent for Automated NONMEM PopPK Modeling with Human Benchmarking.
  Background/Objectives: Population pharmacokinetic (PopPK) modeling in NONMEM requires iterative, expertise-dependent workflows. Naïve zero-shot prompting of general-purpose large language models (LLMs) typically produces NONMEM code that fails to execute.…
  pubmed Kwack H, Kong H, Lim J, Zhang BT 等 2026 Apr 18 置信度 0.82
• An agentic framework for autonomous scientific discovery in cancer pathology.
  Artificial intelligence has advanced cancer pathology, but many systems still depend on hand-crafted features, are hard to explain and rely on fragmented workflows. We introduce SPARK (System of Pathology Agents for Research and Knowledge), a foundational agen…
  pubmed Trost F, Zhang B, Aring I, Bauer M 等 2026 Jun 置信度 0.82
• Review of agentic artificial intelligence (AI) in radiology: from current clinical integration to future innovations.
  Artificial intelligence (AI) is one of the most revolutionary developments in the field of medicine in recent history, with radiology being one of the strongest beneficiaries. AI models predominantly relied on user input to generate 'human-like' responses thro…
  pubmed Chinniah P, Gibson J, Chapala S, Saran S 等 2026 Jun 置信度 0.82
• DxDirector: an agentic large language model driving the full-process clinical diagnosis.
  Clinical diagnosis in the real world often begins with ambiguous patient complaints that require iterative reasoning and testing. While large language models (LLMs) increasingly assist with specific medical queries, they currently lack the ability to autonomou…
  pubmed Xu S, Huang X, Wei Z, Pang L 等 2026 Apr 23 置信度 0.82
• A comprehensive survey of AI agents in healthcare.
  This survey aims to systematically map the rapidly evolving landscape of AI agents in healthcare. It addresses the critical need to adapt general-purpose agentic frameworks characterized by autonomy, planning, and tool use to the high-stakes, safety-critical c…
  pubmed Xu G, Li X, Chen Y, Duan Y 等 2026 Jul 置信度 0.82
• An agentic AI system for automated pharmacogenomic recommendation generation.
  Pharmacogenomic guidelines are essential for tailoring drug therapy to individual genetic profiles, but current curation workflows are manual, resource‑intensive, time‑bound, and limited in coverage. We introduce an agentic AI system for automate…
  pubmed Zack M, Savinkov A, Stupichev D, Moore A 等 2026 Apr 15 置信度 0.82
• Clinical Artificial Intelligence Agents in Nephrology: From Prediction to Action Through Workflow-Native Intelligence-A Roadmap for Workflow-Integrated Care.
  Background : Artificial intelligence in nephrology has largely focused on predictive models for outcomes such as acute kidney injury (AKI), chronic kidney disease (CKD) progression, and transplant complications. Although these models demonstrate technical perf…
  pubmed Thongprayoon C, Pesce F, Cheungpasitporn W 2026 Mar 27 置信度 0.82
• From non-agentic large language models to multi-agent systems in emergency medicine: a scoping review.
  This study aimed to conduct a scoping review of studies on non-agentic large language models (LLMs), LLM-based agents, and multi-agent systems reported in emergency medicine, and to identify current research trends and major gaps by analyzing their clinical ap…
  pubmed Kim H, Jo S, Lim MH, Choi DH 2026 Apr 8 置信度 0.82
• An LLM-Agentic Workflow for Data-Driven Modeling: From Image Reconstruction to Thermodynamic Modeling
  Abstract Data-driven modeling is a cornerstone of modern materials science, accelerating new scientific discovery and guiding novel materials design. However, its effectiveness remains limited by the inherently noisy, heterogeneous, and sparse nature of experi…
  europepmc 2026 置信度 0.80
• MedAgent-Pro: Towards Evidence-Based Multi-Modal Medical Diagnosis via Reasoning Agentic Workflow
  Developing reliable AI systems to assist human clinicians in multi-modal medical diagnosis has long been a key objective for researchers. Recently, Multi-modal Large Language Models (MLLMs) have gained significant attention and achieved success across various …
  europepmc 2025 置信度 0.80