Sponsored by Philips Healthcare

Artificial intelligence (AI) is no longer a distant promise in healthcare — it’s here, reshaping diagnostic imaging and redefining what’s possible in modern medicine. From streamlining workflows to enhancing image quality and supporting clinical decisions, AI is poised to address some of the most pressing challenges in radiology, including rising imaging volumes and critical radiologist shortages. But while the potential is undeniable, the path to widespread adoption is complex, marked by financial, operational, and cultural hurdles.

To better understand the current landscape, Philips Healthcare conducted a nationwide survey of AHRA members, capturing insights from radiology leaders across hospitals, imaging centers, and clinics. The findings reveal an industry at a crossroads: while 79% of respondents see meaningful value in AI, only 13% identify as early adopters using AI broadly. Most remain in pilot or evaluation phases, navigating barriers like budget constraints, integration challenges and staff readiness.

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