ARCH AI + Assess AI: Helping Hospital Administrators Advance Responsible AI in Medical Imaging

April 22, 2026 - Laura Coombs, Tessa S. Cook, Paige Nierengarten

Healthcare systems are moving fast to deploy medical imaging AI for triage, detection, workflow orchestration, and reporting support. Yet after initial go‑lives, many organizations discover gaps in governance, acceptance testing, and ongoing performance surveillance, areas where traditional picture archiving and communication systems (PACS), radiology information systems (RIS), and quality infrastructures were never designed to help.

The American College of Radiology (ACR) now offers two complementary resources to close those gaps: the ACR Recognized Center for Healthcare‑AI (ARCH‑AI), a recognition program that operationalizes best practices for safe, effective AI use; and Assess‑AI, a National Radiology Data Registry program that continuously monitors real‑world AI performance and benchmarks it against national peers. Together, these programs provide a life cycle approach to AI management spanning procurement, local validation, deployment, monitoring, and assessment.

This article also examines the governance challenges associated with AI adoption and outlines how structured oversight models can mitigate risk and support sustainable innovation in imaging departments.