发表机构
Mayo Clinic（梅奥诊所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究人员提出AGENT-O模块化本体框架，定义医疗AI智能体的语义智能体卡，评估279篇论文报告完整性，揭示评估规范差距，为结构化报告提供工具但不评估智能体质量与部署就绪性。
AI 中文摘要
AGENT-O是一种模块化本体框架，定义了用于表示面向医疗的AI智能体系统的语义智能体卡，支持对科学出版物中的报告完整性进行评估。AGENT-O被开发为OWL 2/RDF本体，涵盖运行时、模型、工作流、工具、临床应用、评估、来源、管控及报告评估。评估内容包括本体清单、OWL-RL推理、三套SHACL、12个SPARQL胜任查询、三个案例，以及对279篇论文在五个维度上的模型辅助报告完整性评估。该本体包含1962个RDF三元组和1922个Protege公理，有252个活跃类、198个活跃对象属性和51个数据属性。所有SHACL套件在示例图上均符合要求，所有胜任查询均返回预设证据，且279篇论文均获得评分。报告不完整程度最高的是运行时/架构（84.6%）、管控/安全（82.8%）和来源/可复现性（78.1%），而评估（25.8%）和基准流程一致性（29.8%）的不完整程度较低。AGENT-O支持语义智能体卡表示和报告评估，同时揭示了评估规范差距：评估和基准流程的报告一致性高于运行时架构、管控及可复现性。AGENT-O提供可复用的本体、语义智能体卡配置文件和报告完整性工作流，用于结构化报告和差距识别，但不评估智能体质量或部署就绪性。
英文摘要
AGENT-O is a modular ontology framework that defines a semantic Agent Card for representing health-oriented AI agent systems and supports assessment of reporting completeness in scientific publications. AGENT-O was developed as an OWL 2/RDF ontology covering runtime, models, workflow, tools, clinical use, evaluation, provenance, governance, and reporting assessment. Evaluation included ontology inventory, OWL-RL reasoning, three SHACL suites, 12 SPARQL competency queries, three cases, and model-assisted reporting-completeness assessment of 279 papers across five dimensions. The ontology contained 1,962 RDF triples and 1,922 Protege axioms, with 252 active classes, 198 active object properties, and 51 datatype properties. All SHACL suites conformed on example graphs, all competency queries returned prespecified evidence, and all 279 papers were scored. Incomplete reporting was highest for runtime/architecture (84.6%), governance/safety (82.8%), and provenance/reproducibility (78.1%), compared with evaluation (25.8%) and benchmark-process alignment (29.8%). AGENT-O supported semantic Agent Card representation and reporting assessment while revealing an evaluation-specification gap: evaluation and benchmark procedures were reported more consistently than runtime architecture, governance, and reproducibility. AGENT-O provides a reusable ontology, semantic Agent Card profile, and reporting-completeness workflow for structured reporting and gap identification, but does not assess agent quality or deployment readiness.
