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GeneTech 知识引擎共收录 1861 篇相关科研实体，横跨 30 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Not Just One Agent: Multi-Agent Systems for Medicine from Answer Generation to Accountable Workflow Orchestration
  2026 · AI Agent 生态 · Large language models (LLMs) have advanced medical reasoning, but static question-answering performance remains insufficient for clinical workflows that require evolving patient-state tracking, evidence integration, role…
• Not Just One Agent: LLM-Based Multi-Agent Systems for Medicine from Answer Generation to Accountable Workflow Orchestration
  2026 · AI Agent 生态 · Large language models (LLMs) have advanced medical reasoning, but static question-answering performance remains insufficient for clinical workflows that require evolving patient-state tracking, evidence integration, role…
• Automating SWMM-based stormwater modelling and analysis through a tool-augmented single-agent system.
  2026 · AI Agent 生态 · Urban stormwater modelling plays a critical role in assessing interventions for flood risk and water quality management in response to ageing infrastructure and future uncertainties. However, modelling workflows in pract…
• A multi-agent system for automating scientific discovery.
  2026 · AI Agent 生态 · Scientific discovery is driven by the iterative process of observation, hypothesis generation, experimentation and data analysis. Despite recent advancements in applying artificial intelligence (AI) to biology, no system…
• A Novel Approach for Identification and Monitoring of Critical Cancer Cases Using a Multi-Agent System
  2026 · AI Agent 生态 · Recent research in cancer detection and monitoring is based on the development of multi-agent systems. They are used for multidimensional multimodal health data integration, medical data augmentation, knowledge represent…
• ToolsGenie 2.0: A Scalable and Extensible Multi-Agent System for Bioinformatics Automation
  2026 · AI Agent 生态 · Abstract The rapid expansion of biomedical data necessitates efficient bioinformatics tools, yet conventional workflows rely heavily on manual dependencies, hindering scalability and broader adoption. Building on the fou…
• EPANET-Agentic: A multi-agent system for natural language-controlled simulations of water distribution networks.
  2026 · AI Agent 生态 · Water distribution networks (WDNs), a critical part of urban infrastructure, normally require numerous model simulations for effective planning and management. However, traditional WDN modelling requires complex workflow…
• Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration.
  2026 · AI Agent 生态 · The introduction of foundational models, specifically large language models, has promised a health care transformation. However, the field is rapidly evolving toward autonomous agent systems, defined as artificial intell…
• The role of agentic artificial intelligence in healthcare: a scoping review.
  2026 · AI Agent 生态 · Agentic AI represents a promising evolution of artificial intelligence in healthcare, with systems capable of operating autonomously to achieve defined clinical goals. However, the literature lacks conceptual clarity in …
• An autonomous multimodal AI agent for evidence-grounded ophthalmic diagnosis.
  2026 · AI Agent 生态 · Multimodal ophthalmic diagnosis requires integrating fundus photography, B-scan ultrasonography, and medical evidence, yet most artificial intelligence (AI) systems remain single-task or weakly grounded. AgentEYE is an a…
• Explainable Multi-Agent AI Systems for Intelligent Software Engineering and Business Automation
  2026 · AI Agent 生态 · Abstract Generative Artificial Intelligence (GenAI) and Explainable Artificial Intelligence (XAI) are revolutionizing software programming and enterprise business automation in the 4th industrial revolution era. Current …
• From capability uplift to capability governance: an AI-biosecurity stack.
  2026 · AI Agent 生态 · 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…
• An Agentic Multimodal Sensing Architecture for CT-Guided Wearable and Respiratory Monitoring in Oncology Care.
  2026 · AI Agent 生态 · 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 clinica…
• Precision oncology: from large language models to multi-agent systems.
  2026 · AI Agent 生态 · With the rapid growth of electronic health records, medical imaging, and high-throughput omics data, precision oncology faces increasing demands for cross-modal information integration and complex clinical decision suppo…
• Multi-Agent Debate System Based on Large Language Models: Structured Deliberation and Validation in Satellite Communications
  2026 · AI Agent 生态 · Abstract Structured multi-agent debates among Large Language Models (LLMs) have emerged as a powerful paradigm for enhancing reasoning reliability and argumentative coherence. Motivated by the European Space Agency's (ES…
• Automated extraction and optimization of protein purification protocols using multi-agent large language models
  2026 · AI Agent 生态 · Recent advances in Large Language Models (LLMs) present new opportunities for automating critical bottlenecks in scientific workflows such as literature reviews or protocol design. One such bottleneck is the purification…
• TransAgent: Dynamizing Transcriptional Regulation Analysis via Multi-omics-Aware AI Agent
  2025 · AI Agent 生态 · Abstract Transcriptional regulation research, as a core area of life sciences, faces challenges such as scattered multi-omics data, complex joint analysis, and difficulties in integrating data processing tools. To addres…
• BioMaster: Multi-agent System for Automated Bioinformatics Analysis Workflow
  2025 · AI Agent 生态 · Abstract Motivation The rapid expansion of biological data has significantly increased the complexity of bioinformatics workflows, which often involve intricate, multi-step processes. These tasks demand considerable manu…
• PentestMCP: LLM and MCP Based Multi-Agent Framework for Automated Penetration Testing
  2025 · AI Agent 生态 · Abstract As information systems grow increasingly complex and cyberattack techniques continue to evolve, traditional penetration testing heavily dependent on manual expertise and operations---faces serious challenges in …
• Multi-Agent AI Systems for Biological and Clinical Data Analysis
  2025 · AI Agent 生态 · Multi-agent AI systems, where multiple specialized agents collaborate, are emerging as a powerful approach in biomedicine to tackle complex analytical and clinical tasks that exceed the scope of any single model. Backgro…
• Agentic AI and Large Language Models in Radiology: Opportunities and Hallucination Challenges.
  2025 · AI Agent 生态 · The field of radiology is experiencing rapid adoption of large language models (LLMs), yet their tendency to generate hallucinations (plausible but incorrect information) remains a significant barrier to trust. This comp…
• StableOx-Cat agent: an AI agent for exploring stable metal oxide electrocatalysts
  2026 · AI Agent 生态 · We introduce StableOx-Cat, an artificial intelligence (AI)-agent framework that enables systematic and reliable exploration of stable metal oxide (MO) electrocatalysts via a unified natural-language interface. StableOx-C…
• “DIVE” into hydrogen storage materials discovery with AI agents
  2026 · AI Agent 生态 · Despite the surge of AI in energy materials research, fully autonomous workflows that connect high-precision experimental knowledge to the discovery of credible new energy-related materials remain at an early stage. Here…
• DigMethpy: an AI-empowered digital catalysis platform for methane pyrolysis molten catalyst design
  2026 · AI Agent 生态 · Methane pyrolysis via molten catalysts offers a transformative route for coke-free hydrogen production and high-value carbon capture. However, the development of molten catalysts is hindered by a vast compositional space…
• From large language models to AI agents in energy materials research: enabling discovery, design, and automation
  2026 · AI Agent 生态 · Fragmented knowledge and slow experimental iteration constrain the discovery of energy materials. We trace the evolution of artificial intelligence (AI) in materials science, from large language models as knowledge assis…
• Cloud synthesis: a global closed-loop feedback powered by autonomous AI-driven catalyst design agent
  2026 · AI Agent 生态 · The Digital Catalysis Platform (DigCat) pioneers a revolutionary framework for cloud-based synthesis and global closed-loop feedback, redefining catalyst research through advanced automation and collaboration. By integra…
• ChatSpatial: Schema-Enforced Agentic Orchestration for Reproducible and Cross-Platform Spatial Transcriptomics
  2026 · AI Agent 生态 · Spatial transcriptomics has transformed our ability to study tissue architecture at molecular resolution, yet analyzing these data demands navigating dozens of computational methods across incompatible Python and R ecosy…
• Transforming Public Administration Workflows with Multi-Agent AI: A Human-in-the-Loop Knowledge Orchestration Framework
  2026 · AI Agent 生态 · Public administrations face increasing pressure to manage large volumes of institutional knowledge while ensuring transparency, accountability, and timely responses to citizen and council inquiries. This paper presents C…
• Agentic AI for Productivity: A Framework for Prompt-Driven Email Automation and Workflow Orchestration
  2026 · AI Agent 生态 · This project proposes an AI-powered personal assistant that interprets natural language prompts to automate tasks including email composition, ticket booking, and document generation (Word, Excel, PPT). The system will p…
• Climate Service Recipes: automatic multi-hazard climate information workflow generation using agentic Large Language Models (LLMs) and knowledge graphs
  2026 · AI Agent 生态 · Climate Service Recipes (HACID-CSR) is an agentic system designed to assist providers of climate services in developing their advice for a wide range of clients. HACID-CSR guides providers by navigating the large and eve…
• Abstract 25: Agentic AI for RNA-Seq: From workflow automation to actionable insights.
  2026 · AI Agent 生态 · Abstract Automating bioinformatic analyses of RNA-seq data is challenging because each project requires unique combinations of analytical steps and frequent, case-specific adjustments. These project-specific processes li…
• Agentic AI Framework for Adaptive Clinical Workflow Orchestration
  2026 · AI Agent 生态 · Healthcare systems in resource-constrained settings face systemic challenges, including workflow inefficiencies and clinician overload, which directly threaten patient safety and quality of care. Although Artificial Inte…
• FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation
  2026 · AI Agent 生态 · Agentic workflows are commonly used to guide large language models in solving complex reasoning tasks.However, existing automated workflow generation methods primarily rely on stepwise local refinement or tree-based sear…
• SuperSAGA: A Supervisor-Subordinate Agentic workflow for the Generation of Assertions
  2026 · AI Agent 生态 · We present SuperSAGA, an agentic semi-automated formal verification framework that assists in generating, debugging, and refining SystemVerilog Assertions (SVA) from natural language specifications. Rather than relying o…
• AgRefactor: Refactoring for HLS Compatibility with a Self-Evolving Agentic Workflow
  2026 · AI Agent 生态 · High-Level Synthesis (HLS) provides a fast path from concepts to silicon, but practical HLS design flows begin with a tedious step: refactoring software into HLS-compatible programs. Converting real-world software remain…
• AI agents for MOFs and COFs discovery
  2026 · AI Agent 生态 · Metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) are highly tunable in pore structure and chemical environment, yet their discovery remains slow and fragmented. Synthesis reports are often difficult…
• MedRAG-Agent: Medical Query Resolution By Employing A Multi-Agent, Knowledge Graph-Enhanced RAG-Based AI Framework
  2026 · AI Agent 生态 · The usage of LLMs (Large Language Models) in healthcare is limited by their dependence on static, outdated knowledge, and their tendency for incorrect information (also known as "hallucinations"). Although "retrieval-aug…
• CareBuddy: A Multi-Agent Conversational AI for Alzheimer’s Care and Assistance
  2026 · AI Agent 生态 · Abstract Managing Alzheimer’s disease presents daily challenges for both the individuals living with the condition and their informal caregivers. While conversational AI offers potential support, traditional single-agent…
• Agent AI for Personalized Healthcare: A Multi-Agent Framework for Real-Time Disease Detection and Patient Support
  2026 · AI Agent 生态 · The rapid growth of digital health data from wearable devices, electronic health records, and medical imaging has created unprecedented opportunities for personalized healthcare. However, traditional AI models often face…
• ED-Triage-Agent: A Framework for Human-AI Collaborative Emergency Triage
  2026 · AI Agent 生态 · A bstract Emergency Department triage is a critical decision-making process in which clinicians must rapidly assess patient acuity under high cognitive load and time pressure. We present ED-Triage-Agent ( ETA ), a multi-…
• HydroScholar AI: A Collaborative Agent for End-to-End Automated Hydrological Research Lifecycle
  2026 · AI Agent 生态 · Hydrological research relies on multi-stage computational workflows that are often slow, fragmented across disparate tools, and inconsistently documented, limiting reproducibility. This study presents HydroScholar AI, an…
• Designing an AI Agent System to Execute Biodesign Debate Process
  2026 · AI Agent 生态 · Early-stage healthcare innovation depends on systematic unmet need discovery, a process constrained by time and multidisciplinary coordination. We developed BioDesign Agent, a multi-agent debate framework built on LangGr…
• AI Agent Debug: Transforming Silicon Hardware debug with Machine Learning and GenAI
  2026 · AI Agent 生态 · Managing hardware and software failures in large-scale systems is a critical challenge that demands efficient and accurate automated solutions. This paper presents a comprehensive automated failure management workflow le…
• AI Based Multi-Agent System for Automated Support Ticket Generation
  2026 · AI Agent 生态 · This paper proposes a system built on AI technology that uses multiple agents to completely take over the process of creating structured support tickets from user issues coming in via email, WhatsApp, or voice messages. …
• Collaborative Agent Reasoning Engineering (CARE): A Structured Methodology for Systematically Engineering AI Agents for Science
  2026 · AI Agent 生态 · We present Collaborative Agent Reasoning Engineering (CARE), a disciplined methodology for engineering Large Language Model (LLM) agents in scientific domains. Unlike ad-hoc trial-and-error approaches, CARE specifies beh…
• MedAgentNet: Federated Multi-Agent AI for Privacy-Preserving Cross-Departmental Clinical Intelligence
  2026 · AI Agent 生态 · Fragmented healthcare delivery across medical specialties often leads to incomplete clinical information, undetected drug interactions, and missed diagnostic relationships. Existing healthcare AI systems typically rely o…
• Demo: Healthcare Agent Orchestrator (HAO) for Patient Summarization in Molecular Tumor Boards
  2025 · AI Agent 生态 · Molecular Tumor Boards (MTBs) are multidisciplinary forums where oncology specialists collaboratively assess complex patient cases to determine optimal treatment strategies. A central element of this process is the patie…
• A Survey on Agent Workflow – Status and Future
  2025 · AI Agent 生态 · In the age of large language models (LLMs), autonomous agents have emerged as a powerful paradigm for achieving general intelligence. These agents dynamically leverage tools, memory, and reasoning capabilities to accompl…
• PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows
  2025 · AI Agent 生态 · Large Language Models (LLMs) and other foundation models are increasingly used as the core of AI agents. In agentic workflows, these agents plan tasks, interact with humans and peers, and influence scientific outcomes ac…
• Agentic Workflows for Improving Large Language Model Reasoning in Robotic Object-Centered Planning
  2025 · AI Agent 生态 · Large Language Models (LLMs) provide cognitive capabilities that enable robots to interpret and reason about their workspace, especially when paired with semantically rich representations like semantic maps. However, the…
• From prompt to platform: an agentic AI workflow for healthcare simulation scenario design
  2025 · AI Agent 生态 · Abstract Healthcare simulation scenario design remains a resource-intensive process, demanding significant time and expertise from educators. This article presents an innovative AI-driven agentic workflow for healthcare …
• Agents for Change: Artificial Intelligent Workflows for Quantitative Clinical Pharmacology and Translational Sciences
  2025 · AI Agent 生态 · Artificial intelligence (AI) is making a significant impact across various industries, including healthcare, where it is driving innovation and increasing efficiency. In the fields of Quantitative Clinical Pharmacology (…
• <scp>Meta-Agent-Workflow:</scp> Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and Refinement
  2025 · AI Agent 生态 · Large language models (LLMs) have recently shown significant advancements and are increasingly used as key components in automated agents for various web-based tasks. Typically, this agentization is achieved by carefully…
• RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation
  2025 · AI Agent 生态 · Retrieval-augmented generation (RAG) has emerged as a pivotal technology in natural language processing, owing to its efficacy in generating factual content.However, its informative inputs and complex paradigms often lea…
• Evolution of AI in Education: Agentic Workflows
  2025 · AI Agent 生态 · The primary goal of this study is to analyze agentic workflows in education according to the proposed four major technological paradigms: reflection, planning, tool use, and multi-agent collaboration. We critically exami…
• Agentic Workflows for Improving LLM Reasoning in Robotic Object-Centered Planning
  2025 · AI Agent 生态 · Large Language Models (LLMs) provide cognitive capabilities that enable robots to interpret and reason about their workspace, especially when paired with semantically rich representations like semantic maps. However, the…
• Enhancing Risk Analysis in Drilling Operations Using an Agentic LLM Workflow
  2025 · AI Agent 生态 · Abstract This paper presents a novel, modular agentic workflow leveraging large language models (LLMs)—a technology increasingly validated for its ability to handle complex textual data in drilling operations (e.g., Ferr…
• Empowering x-ray science with LLMs and agentic workflow
  2025 · AI Agent 生态 · Foundation models (e.g., LLMs, VLMs) are revolutionizi X-ray science by enabling intuitive human–computer interfaces, fuzzy logic-based automation, and powerful data insights. Deploying them effectively, however, require…
• Advancements in Multi-Agent Large Language Model Systems for Next-Generation AI
  2025 · AI Agent 生态 · Large Language Models (LLMs) have enabled AI research. Their easier design of new ways to handle challenges across a wide range of applications has increased this discipline's influence. Multi-agent LLM systems in diagno…
• AI-vPON: A Trustworthy Sim-to-Real AI Agent for Reliable End-to-End PON Operations
  2025 · AI Agent 生态 · We present AI-vPON, an LLM-based framework that enables natural language-driven automation of Passive Optical Network (PON) operations. The system comprises three core components—AI Agent, modelled PON (mPON), and Actual…

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