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Lessons learned from deploying imaging AI with the open PACS-AI platform
Author1, Author2, Author3, Author4, Author5
infrastructureAI deploymenthealthcaremodel governance
2609.26981
Builder Relevance
2h ago80%
Abstract
The paper discusses the deployment of imaging AI at six hospitals using the PACS-AI platform, emphasizing the importance of infrastructure over model accuracy.
Reality Card
Core Claim
The deployment of imaging AI models achieved an 84.8% completion rate for angiography jobs, highlighting the significance of infrastructure in AI deployment.
Method / Result
Angiography models completed 515 of 607 jobs (84.8%) with 78.1% positive clinician ratings.
Limitations
Failures were attributed to absent diagnostic views, indicating potential gaps in model readiness and infrastructure.
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