PACS integration determines whether imaging AI output appears where radiologists can review it without latency, duplicate work, or interface friction.
People searching PACS integration for imaging AI are usually asking whether AI findings will appear inside the viewer and worklist radiologists already use. The short answer is that PACS fit matters because a strong model can still fail if outputs arrive late, sit in a separate dashboard, or require extra clicks during interpretation.
This page explains the deployment questions behind PACS integration: where AI output is displayed, how latency is handled, how failed runs are surfaced, how findings are documented, and whether the integration supports review instead of distracting from it.
PACS integration determines whether imaging AI findings are usable inside real radiology review rather than isolated in a disconnected system.