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teleo-codex/entities/health/arise-network.md
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vida: extract claims from 2026-04-25-arise-state-of-clinical-ai-2026-report 
- Source: inbox/queue/2026-04-25-arise-state-of-clinical-ai-2026-report.md
- Domain: health
- Claims: 2, Entities: 1
- Enrichments: 4
- Extracted by: pipeline ingest (OpenRouter anthropic/claude-sonnet-4.5)

Pentagon-Agent: Vida <PIPELINE>
2026-04-25 04:28:27 +00:00

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title type entity_type domain status founded headquarters website tags
ARISE Network (AI Research in Systems Engineering) entity research_program health active
Unknown
Stanford University, Harvard Medical School https://arise-ai.org
clinical-ai
research-network
evidence-synthesis
ai-safety

Overview

ARISE (AI Research in Systems Engineering) is a Stanford-Harvard collaborative research network focused on clinical AI safety, effectiveness, and implementation. The network synthesizes emerging evidence on AI deployment in healthcare settings with emphasis on real-world performance, failure modes, and safety gaps.

Key Activities

  • Annual State of Clinical AI reports synthesizing published research
  • Focus areas: automation bias, deskilling, workflow design, evidence gaps
  • Bridges controlled research settings to real-world deployment analysis

Timeline

  • 2026-01-01 — Published State of Clinical AI Report 2026, synthesizing 2025 research on clinical AI performance, automation bias, and deskilling risks