[Submitted on 22 Sep 2026]
Title:Lessons learned from deploying imaging AI with the open PACS-AI platform
View a PDF of the paper titled Lessons learned from deploying imaging AI with the open PACS-AI platform, by Samuel Kadoury and 13 other authors
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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.
Comments: 28 pages (21 main text + 7 supplementary), 3 figures, 1 table
Subjects:
Computer Vision and Pattern Recognition (cs.CV); Computers and Society (cs.CY)
Cite as: arXiv:2609.26981 [cs.CV]
(or arXiv:2609.26981v1 [cs.CV] for this version)
https://doi.org/10.48550/arXiv.2609.26981
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Robert Avram [view email] [v1] Tue, 22 Sep 2026 19:18:09 UTC (1,921 KB)
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View a PDF of the paper titled Lessons learned from deploying imaging AI with the open PACS-AI platform, by Samuel Kadoury and 13 other authors
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