Lessons learned from deploying imaging AI with the open PACS-AI platform

2026-09-22

AI Summary

研究通过开放的PACS-AI平台在六家医院部署影像AI，发现主要问题在于基础设施而非模型准确性，并强调了发布模型准备状态的重要性。

Abstract

We describe deploying imaging AI at six hospitals through PACS-AI, an open self-hosted platform. The binding constraint is not model accuracy but infrastructure to route studies, display results, capture feedback, and audit what runs. At one center, angiography models completed 515 of 607 jobs (84.8%); failures reflected absent diagnostic views, and 78.1% of 638 clinician ratings were positive. Publishing honest readiness levels for every model is itself a governance practice.

Problem

• imaging AI
• infrastructure
• deployment
• PACS-AI
• feedback

Innovation

• PACS-AI
• infrastructure
• model readiness