VQV Signal
AGENT-O is a modular ontology framework that defines a semantic Agent Card to represent health-oriented AI agent systems and assess reporting completeness in scientific publications. It covers aspects like runtime, models, workflow, clinical use, evaluation, provenance, governance, and reporting as...
AGENT-O is a modular ontology framework that defines a semantic Agent Card to represent health-oriented AI agent systems and assess reporting completeness in scientific publications. It covers aspects like runtime, models, workflow, clinical use, evaluation, provenance, governance, and reporting as...
AI-assisted summary based on the listed source.
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,...
This framework supports interoperability and governance of healthcare AI agents, facilitating standardized reporting and evaluation. It aims to improve transparency and consistency in the development and deployment of AI in clinical settings.
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VQV surfaced this signal because it is recent, relevant to AI Agents, connected to arXiv.
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