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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 simulation scenario development, bridgin…
crossref
Federico Lorenzo Barra, Giovanna Rodella, Alessandro Costa, Antonio Scalogna 等
2025-05-16T16:41:46Z
置信度 0.70
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Background Effective management of cardiometabolic conditions requires sustained positive nutrition habits, often hindered by complex and individualized barriers. Direct human management is simply not scalable, and deterministic automated approaches to nutriti…
europepmc
2025
置信度 0.80
-
Abstract Data-driven modeling has become 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 o…
europepmc
2026
置信度 0.80
-
Abstract The increasing complexity of real-world tasks in AI highlights the need for more efficient and adaptable systems that can effectively leverage various specialized models to manage complex, multi-dimensional challenges. In this paper, we propose the Au…
europepmc
2026
置信度 0.80
-
We introduce DeepResearch Eco , a novel agentic LLM-based system for automated scientific synthesis that supports recursive, depth- and breadth-controlled exploration of original research questions—enhancing search diversity and nuance in the retrieval of rele…
europepmc
2025
置信度 0.80
-
Large language models are increasingly deployed in agentic workflows that combine planning, retrieval, tool use, and automated decision support. However, these systems remain vulnerable to unsafe behavior, hallucination, misaligned fine-tuning, and weak reprod…
europepmc
2026
置信度 0.80
-
Convolutional neural networks (CNNs) can classify thyroid nodules on ultrasound, yet published models are seldom available for independent testing, require machine-learning expertise to develop and deploy, and are validated mostly on papillary thyroid carcinom…
europepmc
2026
置信度 0.80
-
Purpose 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 tem…
europepmc
2026
置信度 0.80
-
Virtual staging has revolutionized the real estate industry by automating the redesign of interior images based on user instructions. This paper introduces an innovative Agentic AI Workflow for end-to-end, prompt-based contextual virtual staging, leveraging mu…
crossref
Scott Murray, Haojin Deng, Yimin Yang, Eman Nejad
2026-02-03T20:52:24Z
置信度 0.70
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Educators often rely on textual data from student evaluation comments and feedback survey responses to gain insights into students’ learning, understand their perceptions of educational innovations, as well as to evaluate curricula for improving educational pr…
crossref
Aneesha Bakharia, Antonette Shibani, Brayam Alexander Pineda Miranda, Lisa-Angelique Lim 等
2025-11-30T11:19:11Z
置信度 0.70
-
crossref
Ivens da Silva Portugal, Giuliano Lorenzoni, Paulo Alencar, Donald Cowan
2026-03-06T20:57:57Z
置信度 0.70
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Loan trading platforms operate as long-running, failure-prone distributed systems where workflow orchestration directly impacts correctness, tail latency, and operational cost. Conventional orchestrators implement static state machines with uniform retry logic…
crossref
Girish Gajwani, Vinay Soni
2026-06-02T20:03:34Z
置信度 0.70
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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, requires frameworks that integrate advanced AI …
crossref
Xiangyu Yin, Amey Luktuke, Yanqi Luo, Junjing Deng 等
2025-09-18T23:07:50Z
置信度 0.70
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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 limit the reusability of workflows to othe…
crossref
Arthur Liberzon, Pablo Cingolani, Steven Wood Criscione, Etai Jacob
2026-04-03T07:19:29Z
置信度 0.70
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The article examines the transformation of end-to-end automation in large organizations driven by generative and agentic AI. The aim of the work is to conceptualize the gap between formal regulations and actual process execution and, on this basis, to propose …
crossref
Nitin Garg
2026-06-08T07:50:46Z
置信度 0.70
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Molecular optimization-modifying a given molecule to improve desired properties-is a fundamental task in drug discovery.While LLMs hold the potential to solve this task using natural language to drive the optimization, straightforward prompting achieves limite…
crossref
Le Huy Khiem, Ting Hua, Nitesh V Chawla
2025-11-08T12:29:45Z
置信度 0.70
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The rapid development of agentic IDEs calls for evaluation approaches that assess not only final outputs but also the agentic workflow enacted during software development. This study comparatively evaluates the workflow capabilities of four AI IDE agents, name…
crossref
Erlangga Aditia, Ulva Elviani
2026-07-25T14:11:48Z
置信度 0.70
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The increasing complexity of decentralized financial systems has necessitated advanced orchestration mechanisms capable of managing dynamic, distributed microservices. Conventional orchestration methods tend to be less flexible, scalable and transparent to sup…
crossref
Anvesh Katipelly
2026-04-10T07:04:37Z
置信度 0.70
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We explored the insufficient process-level support for designers employing text-to-image generative AI tools in visual design. Although these tools facilitate swift image creation via natural language prompts, they often reduce the design process to mere promp…
crossref
Tian Wen
2026-03-02T20:53:14Z
置信度 0.70
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Additive engineering has become the primary strategy for advancing perovskite light-emitting diode (PeLED) performance, but choosing the right molecule from a vast chemical space still relies on human intuition. Large language model (LLM) agents are well suite…
crossref
Yineng Yao, Qian Cheng, Zexian Ouyang, Chao Chen 等
2026-06-11T05:54:56Z
置信度 0.70
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To reduce the labor and errors involved in converting natural-language fault-planning cards for space station payloads into structured fault-rule configuration files, this paper proposes a method for constructing a fault diagnosis expert system based on an age…
crossref
Bingyu XU, Xingyu LIU, Song GAO, Lei SONG 等
2026-07-15T13:11:28Z
置信度 0.70
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As large language models (LLMs) become more capable, many applications are shifting from a single LLM call to multi-agent systems.Manually designed or automatically optimized workflows often include multiple verification and testing stages.These stages can imp…
crossref
Dawei Xiang, Kexin Chu, Wenyan Xu, Wenhui Zhang 等
2026-07-01T12:25:50Z
置信度 0.70
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Programming by Demonstration (PbD) enables users to automate tasks through examples, but traditional systems generate low-level scripts that are hard to generalize or reuse. Recent advances in Large Language Models (LLMs) offer the potential to infer higher-le…
crossref
Jiawen Li, Zheng Ning, Yuan Tian, Toby Jia-Jun Li
2025-12-25T18:25:00Z
置信度 0.70
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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 Intelligence (AI) has shown substantial prom…
crossref
Quy Minh Le, Duc-Trong Le, Hoang D. Nguyen
2026-02-03T20:52:23Z
置信度 0.70
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Analog/mixed-signal circuits are key for interfacing electronics with the physical world. Their design, however, remains a largely handcrafted process, resulting in long and error-prone design cycles. While the recent rise of AI-based reinforcement learning an…
crossref
Mohsen Ahmadzadeh, Kaichang Chen, Georges Gielen
2025-11-20T18:39:34Z
置信度 0.70
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crossref
Nishanthi Yuvaraj, Muppidi Sudheer Kumar, M. Sowmiya Manoj
2026-07-10T19:37:04Z
置信度 0.70
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Agentic AI turns a single user request into a multi-step workflow with multiple LLM calls, increasing both total energy use and peak power demand. Existing power-control methods mostly act after workloads are generated, while agentic workflow optimization main…
crossref
Yuelin Han, Shaolei Ren
2026-06-20T09:39:33Z
置信度 0.70
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Multi-Agent Systems (MAS) built on large language models typically solve complex tasks by coordinating multiple agents through workflows.Existing approaches generates workflows either at task level or query level, but their relative costs and benefits remain u…
crossref
Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen 等
2026-07-01T12:25:50Z
置信度 0.70
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Abstract Clinical decision support systems (CDSSs) have undergone significant transformation with the development of artificial intelligence-based methods in areas such as guideline interpretation, medication safety, risk classification, and the management of …
crossref
Suheda Kara, Abdullah Ammar Karcioglu
2026-06-16T01:56:25Z
置信度 0.70
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This paper presents a novel multimodal framework for Human Activity Recognition (HAR) in homes that combines Channel State Information (CSI) from WiFi access points with visual data from camera images. This approach introduces a dual-stream classification pipe…
crossref
Vishnu S. Pendyala, Milind Patil
2026-03-03T20:49:35Z
置信度 0.70
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For university students, manually organizing academic reports in compliance with institution norms remains a time-consuming and mistake-prone task that often diverts attention from the quality of the content. Further administrative bottlenecks are also caused …
crossref
Kavitha Jayaram, A G Madhukirana, Aisiri Ningappa Krishnamurthy, Akshaya K
2026-02-25T20:53:55Z
置信度 0.70
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Abstract Assessment of open-ended work in university mathematics (e.g., proofs and multi-line calculations) is labour-intensive and subject to rater variability. Recent advances in natural-language processing (NLP) and large language models (LLMs) have enabled…
europepmc
2026
置信度 0.80
-
Parkinson's disease (PD) is a heterogeneous neurodegenerative disorder that presents a wide spectrum of clinical phenotypes, posing a fundamental challenge for early and accurate subtyping. This requires a multimodal assessment to identify disease patterns. Ro…
europepmc
2026
置信度 0.80
-
Question Answering (QA) over Knowledge Graphs (KGs) has greatly benefited from the rapid growth of Large Language Models (LLMs), which enable the translation of natural language questions into Cypher queries. Most existing approaches rely on one-shot generatio…
crossref
Christina-Maria Androna, Ioanna Mandilara, Eleftheria Arkadopoulou, Eleni Fotopoulou 等
2026-04-22T07:25:16Z
置信度 0.70
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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 search over a single evolving workflow.Under…
crossref
Xiang Wang, Zongtao Yang, Zhuojian Hong, Shuhao Zhang 等
2026-07-01T12:25:50Z
置信度 0.70
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In this paper, we propose a novel agentic AI system called XPF, which enables users to create "agents" using just natural language, where each agent is capable of executing complex, real-world business workflows in an accurate and reliable manner. XPF provides…
crossref
Kunal Rao, Giuseppe Coviello, Gennaro Mellone, Ciro Giuseppe De Vita 等
2025-09-09T12:46:16Z
置信度 0.70
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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 on full manual workflows, SuperSAGA combi…
crossref
Subhajit Paul, Ansuman Banerjee, Sumana Ghosh, Sudhakar Surendran 等
2026-03-10T19:51:15Z
置信度 0.70
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Yuxin Liu, Jinxuan Zhang, Yuezhang Peng, Hefeng Zhou, Xiangfeng Wang, Jiong Lou, Chentao Wu, Jie LI, Jingjing Qu, Chaochao Lu. Findings of the Association for Computational Linguistics: ACL 2026. 2026.
crossref
Yuxin Liu, Jinxuan Zhang, Yuezhang Peng, Hefeng Zhou 等
2026-07-01T12:25:50Z
置信度 0.70
-
crossref
Ruihui Hou, Dongge Xue, Hongli Sun, Ping He 等
2026-02-28T23:09:57Z
置信度 0.70
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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 remains challenging due to restrictive languag…
crossref
Yang Zou, Zijian Ding, Chi Wang, Yizhou Sun 等
2026-02-05T21:17:35Z
置信度 0.70
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BACKGROUND Effective management of cardiometabolic conditions requires sustained positive nutrition habits, often hindered by complex and individualized barriers. Direct human management is simply not scalable, while deterministic automated approaches to nutri…
crossref
Eric Yang, Tomas Garcia, Hannah Williams, Bhawesh Kumar 等
2025-04-14T17:20:06Z
置信度 0.70
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Building enterprise-grade chat agents capable of answering questions across both structured and unstructured financial data remains a fundamental challenge. The Financial Info AI Agent addresses this by implementing a dual-pipeline LLM architecture that separa…
crossref
Manasa N Murthy, Tan Yu, Alia Eccles, Vivek S 等
2026-03-16T20:11:23Z
置信度 0.70
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ABSTRACT: The rapid evolution of large language models and agentic AI frameworks has opened a new frontier for intelligent enterprise software. This paper presents GENIE CRM, a full-stack customer relationship management platform that embeds autonomous AI agen…
crossref
Prof. Hinaben Bharatbhai Dudharejiya, Dev Tejas Shah
2026-04-23T07:49:16Z
置信度 0.70
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europepmc
2026
置信度 0.80
-
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…
europepmc
2026
置信度 0.80
-
Background While telehealth disease management programmes have demonstrated effectiveness, they are often resource-intensive and can face challenges in scaling sustainably. Objectives This study proposes a digital care assistant, based on the HerzMobil program…
europepmc
2026
置信度 0.80
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Cryo-electron microscopy (cryo-EM) is the mainstream method for structure determination, yet current automated workflows remain rigid and require expert intervention for failure recovery, heterogeneity analysis, and optimization. We present cryoAgent, an agent…
europepmc
2026
置信度 0.80
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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…
europepmc
2026
置信度 0.80
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Purpose To evaluate the efficacy of large language models (LLMs) in extracting medication-related information from glaucoma clinical notes in the electronic health record (EHR). Design Cross-sectional. Subjects 1,250 subjects in the Bascom Palmer Ophthalmic Re…
europepmc
2026
置信度 0.80
-
Early detection of cognitive impairment is limited by traditional screening tools and resource constraints. We developed two large language model workflows for identifying cognitive concerns from clinical notes: (1) an expert-driven workflow with iterative pro…
europepmc
2026
置信度 0.80
-
Abstract Software testing has historically depended on scripted automation and human-crafted test oracles, both of which struggle to keep pace with continuously evolving user interfaces, microservice topologies, and release cadences. This paper presents an arc…
europepmc
Urvish Gajjar
2026
置信度 0.80
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Large language models can annotate cell types from marker gene lists, but they typically operate after preprocessing and clustering are complete, treating annotation as a terminal labeling step rather than controlling the analytical decisions that produce the …
europepmc
2026
置信度 0.80
-
Agentic artificial intelligence (AI) is a consequential technological frontier in banking because it shifts AI from passive assistance and generative interaction toward goal-directed workflow execution. Responsible and sustainable banking transformation thus d…
europepmc
2026
置信度 0.80
-
Unlabelled 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 c…
europepmc
2026
置信度 0.80
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\textbf{Background:} Rural and inner areas combine geographic distance, demographic ageing, small municipalities, and fragmented access to health services. These conditions are especially relevant in Calabria, where a large proportion of municipalities have fe…
europepmc
2026
置信度 0.80
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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…
europepmc
2026
置信度 0.80
-
Agentic large language models are increasingly used across the genomic workflow, from variant calling to clinical interpretation, yet they are evaluated by accuracy alone, a single figure that cannot say whether a system is safe or where in the workflow a fail…
europepmc
2026
置信度 0.80
-
Medical systematic reviews are central to evidence-based medicine, but they remain slow, labor-intensive, and difficult to maintain under the full Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) workflow. Recent LLM-based deep resea…
europepmc
2026
置信度 0.80
-
Background Manual review of 30-day hospital readmissions can identify actionable quality and safety problems, but it is labor-intensive. We developed and evaluated an agentic AI workflow for evidence-grounded readmission review. Materials and methods We studie…
europepmc
2026
置信度 0.80
-
Background Intracerebral hemorrhage (ICH) remains associated with high mortality and treatment variability. Current workflows rely on fragmented imaging interpretation and operator-dependent surgical planning. Methods The objective was to develop and validate …
europepmc
2026
置信度 0.80
-
Introduction 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 pro…
europepmc
2026
置信度 0.80
-
europepmc
2026
置信度 0.80
-
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…
europepmc
2026
置信度 0.80
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This study presents ReCo (Research Cosmos), a self-configuring and self-extending agentic research framework for the biomedical domain. ReCo is orchestrated by a large language model that interacts with native computing tools, bundled Model Context Protocol (M…
europepmc
2026
置信度 0.80
-
Abstract Background Rare disease diagnosis remains slow, with patients facing a diagnostic odyssey averaging 5 to 7 years. Genomic sequencing has shifted the bottleneck to interpretation: the challenge is identifying the pathogenic variant(s) among ranked cand…
europepmc
2026
置信度 0.80
-
Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, creating an urgent need for accurate, trustworthy, and clinically deployable artificial intelligence (AI) systems capable of supporting complex diagnostic decision-making. Although…
europepmc
2026
置信度 0.80
-
Unlabelled Medical AI agents are emerging as a new generation of clinical decision support systems, moving beyond static prediction toward multistep, workflow-oriented assistance. This Viewpoint argues that agentic architectures incorporating planning, action,…
europepmc
2026
置信度 0.80
-
Existing radiological artificial intelligence (AI) systems are difficult to modify, validate, and adapt to new clinical applications. We present a large language model (LLM)-driven agentic framework capable of reconstructing, optimizing, and customizing deep-l…
europepmc
2026
置信度 0.80
-
Motivation As biomedical datasets and knowledge graphs continue to grow in size, complexity, and heterogeneity, navigating and extracting actionable insights from them presents a major bottleneck for researchers. There is a clear need for autonomous analytical…
europepmc
2026
置信度 0.80
-
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…
europepmc
2026
置信度 0.80
-
Large language models (LLMs) can generate fluent clinical text but remain limited by non deterministic numerical reasoning, lack of direct access to updated guidelines, and limited observability of the process leading to a recommendation. We present CardioAgen…
europepmc
2026
置信度 0.80
-
Generative AI is moving from text production to goal-directed action, raising the question of whether agentic systems can withhold harmful action when it is embedded in a procedurally legitimate workflow. We adapted Milgram’s (1963) obedience paradigm to a sim…
europepmc
2026
置信度 0.80
-
Abstract Enterprise adoption of artificial intelligence (AI) systems, including Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and agentic AI, is advancing faster than many organizations can adapt their governance, audit, cybersecurity, and execu…
europepmc
2026
置信度 0.80
-
Building agentic systems around frozen foundation models remains largely a craft: chains of thought, reflection loops, tool calls, and multi-agent topologies are assembled by hand. Automated Design of Agentic Systems (ADAS) recasts that craft as a search probl…
europepmc
2026
置信度 0.80
-
Decoding the tumor immunity is pivotal for cancer immunotherapy, yet transcriptomic pipelines remain bottlenecked by fragmented tools and biased interpretations. Here we present IOBRpy, a Python toolkit driven by an innovative AI dual-agent layer for automated…
europepmc
2026
置信度 0.80
-
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…
europepmc
2026
置信度 0.80
-
Purpose To develop an agentic artificial intelligence (AI) framework that streamlines and standardizes eye bank operations by automating donor screening, image analysis, and tissue suitability assessment under expert supervision. Methods A modular, on-premises…
europepmc
2026
置信度 0.80
-
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
置信度 0.82
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A bstract Agentic large language model (LLM) systems are being deployed in bioinformatics faster than they are understood, and single-metric evaluations conflate capabilities that fail independently. We introduce FlowBench, a benchmark that decomposes agentic …
europepmc
2026
置信度 0.80
-
Importance 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 summarie…
europepmc
2026
置信度 0.80
-
Abstract Diagnostic errors in pathology remain an important contributor to patient morbidity and healthcare inefficiency despite increasing laboratory automation and quality management initiatives. Failure Mode and Effects Analysis (FMEA) offers a structured f…
europepmc
2026
置信度 0.80
-
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…
europepmc
2026
置信度 0.80
-
europepmc
2026
置信度 0.80
-
Purpose Retrospective identification of acute nonarteritic anterior ischemic optic neuropathy (NAION) cases is critical for research on risk factors. However, reliance on International Classification of Diseases (ICD) 10th edition coding for case identificatio…
europepmc
2026
置信度 0.80
-
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…
europepmc
2026
置信度 0.80
-
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),…
europepmc
2026
置信度 0.80
-
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…
europepmc
2026
置信度 0.80
-
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…
europepmc
2026
置信度 0.80
-
Aim 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 …
europepmc
2026
置信度 0.80
-
Background Metabolic dysfunction-associated steatotic liver disease (MASLD) affects approximately one-quarter of adults worldwide, yet liver fibrosis remains markedly under-recognized in primary care. Existing screening approaches using static risk calculators…
europepmc
2026
置信度 0.80
-
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 intelligence (AI) entities that perceive and r…
pubmed
Khosravi B, Rouzrokh P, Akinci D'Antonoli T, Moassefi M 等
2026
置信度 0.82
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Microwave bandpass filter design typically requires manual coordination of synthesis, analysis, simulation, and optimisation tools written in different languages and exchanged through ad-hoc data formats. We present FilterForge, a chat-driven VSCode environmen…
europepmc
2026
置信度 0.80
-
Background Clinical data analysis typically requires statistical programming skills, whereas cloud-based artificial intelligence (AI) agents risk exposing sensitive patient records. We developed and functionally validated a privacy-preserving, zero-code conver…
europepmc
2026
置信度 0.80
-
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 distinguishing AI agents from Agentic AI…
pubmed
Collaco BG, Haider SA, Prabha S, Gomez-Cabello CA 等
2026
置信度 0.82
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Artificial intelligence plays a central role in modern cybersecurity, yet systems optimized for detection accuracy often lack mechanisms for accountability, transparency, and policy compliance. This study proposes the Agentic AI Framework (AAIF), a policy-awar…
europepmc
2026
置信度 0.80
-
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…
europepmc
2026
置信度 0.80
-
For patients experiencing cancer, nurse navigation can ease the burden of complex care by enhancing coordination of health services and patient outcomes. However, in under-resourced areas, trained nurse navigators may be limited or non-existent. In the United …
europepmc
2026
置信度 0.80
-
Abstract Modern software systems rely heavily on APIs to enable communication across services and integrations. Despite the availability of mature tools for API development and testing, validation still depends largely on manually created test cases. As APIs e…
europepmc
2026
置信度 0.80
-
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…
europepmc
2026
置信度 0.80
-
Time series forecasting is commonly formulated as a model-centric and single-pass prediction task. However, real-world forecasting often requires task understanding, data diagnosis, contextual feature acquisition, tool-assisted modeling, reflective verificatio…
europepmc
2026
置信度 0.80