Lessons learned from deploying imaging AI with the open PACS-AI platform
Samuel Kadoury, Julie G. Hussin, Pascal Thériault-Lauzier, Laurent Létourneau-Guillon, Rob Lewis, Adam McArthur, Gordon J. Harris, Houda Bahig, Pierre-Luc Déziel, Jay Kshirsagar, Jacob L. Jaremko, Julien Cohen-Adad, Jacques Delfrate, Robert Avram
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.