Unverified50% confidenceFactExact time
RadOnc-Agent's real patient case workflows cover two typical processes: decision-to-planning and planning-to-adaptive.
1
Sources
50%
Confidence
Long-term
Relevance
10/7/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedIn RAG scenarios, an Agent can determine whether retrieval is needed, which knowledge base to retrieve from, and whether multiple rounds of retrieval or external tool calls are required, while a workflow orchestrates multiple steps into a directed graph supporting conditional branching, parallel processing, and loop iteration.69% similarUnverifiedThe complete development pipeline for enterprise-level AI customer service consists of four coordinated components: RAG for finding evidence, Ontology for understanding relationships, Agent for scheduling decisions, and human review as a fallback for anomalies.68% similarVerifiedPlan-and-Execute和ReAct是当前Agent领域两种代表性的规划范式68% similarUnverifiedRadOnc-Agent's LLM is positioned as an orchestrator rather than an executor, with specialized computations delegated to domain-specific modules.68% similarUnverifiedThe investigation Agent aggregates customer context, detection results, Indicators of Compromise (IoCs), and other information for a case, feeds it to a planning model, enters a 'plan–execute–review' loop, generates an investigation plan, and provides recommended response actions67% similar
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