#healthcare
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Specialized Clinical AI Outperforms General Models in Real-World Use
A study of 620 real-world clinical queries shows that specialized AI tools significantly outperform general-purpose models across accuracy, utility, and verifiability, highlighting the need for domain-specific evaluation.
ATHENA-R1: An AI Agent for Iterative Biomedical Treatment Reasoning
ATHENA-R1 is an AI agent that performs iterative treatment reasoning by dynamically querying a universe of 212 biomedical tools, outperforming GPT-5 by significant margins in clinical benchmarks.
Unifying Regulatory and Patient Data for Psychiatric Safety
A provenance-aware knowledge graph framework integrates FDA records with patient narratives to provide auditable, contextualized mental health medication information.
Scaling AI Infrastructure for Clinical and Operational Impact
Boston Children’s Hospital transformed AI from fragmented tools into core infrastructure, resulting in 60,000 hours saved, $7M in redeployed labor, and the diagnosis of 40+ previously unresolved rare conditions.
Scaling AI in Healthcare: The AdventHealth Approach
AdventHealth achieved an 80% reduction in administrative task time by treating AI adoption as a measurable product, focusing on 'time back' for clinicians rather than automation for its own sake.
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