Introduces a compositional governance framework defining delegation types, resource scope attenuation, and an overlay operator for agentic AI authorization policies.
Next-generation agentic AI for transform- ing healthcare
5 Pith papers cite this work, alongside 101 external citations. Polarity classification is still indexing.
years
2026 5verdicts
UNVERDICTED 5representative citing papers
Single-agent LLM frameworks outperform naive multi-agent systems in multimodal clinical risk prediction tasks and are better calibrated.
A narrative review of AI language technologies in multilingual healthcare identifies performance gaps in safety and equity and proposes seven grand challenges centered on reliability, human oversight, and cross-disciplinary collaboration.
The paper introduces ClinQueryAgent, a conversational agent that converts natural language queries into database queries for population health management while keeping patient data secure, and reports its use by 128 staff across 15 NHS practices covering 148,319 patients.
A survey that maps risks along the agent workflow and consolidates metrics and benchmarks for safety, robustness, privacy, and security in agentic AI.
citing papers explorer
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Overlaying Governance: A Compositional Authorization Framework for Delegation and Scope in Agentic AI
Introduces a compositional governance framework defining delegation types, resource scope attenuation, and an overlay operator for agentic AI authorization policies.
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AgentRx: A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks
Single-agent LLM frameworks outperform naive multi-agent systems in multimodal clinical risk prediction tasks and are better calibrated.
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Artificial intelligence language technologies in multilingual healthcare: Grand challenges ahead
A narrative review of AI language technologies in multilingual healthcare identifies performance gaps in safety and equity and proposes seven grand challenges centered on reliability, human oversight, and cross-disciplinary collaboration.
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ClinQueryAgent: A Conversational Agent for Population Health Management
The paper introduces ClinQueryAgent, a conversational agent that converts natural language queries into database queries for population health management while keeping patient data secure, and reports its use by 128 staff across 15 NHS practices covering 148,319 patients.
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Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security
A survey that maps risks along the agent workflow and consolidates metrics and benchmarks for safety, robustness, privacy, and security in agentic AI.