A 2025 Philips survey of radiology leaders found that while 79% see significant value in AI for diagnostic imaging, only 13% have broadly deployed it, with most organizations still evaluating or piloting solutions. AI is delivering measurable benefits through improved operational efficiency, enhanced image quality, faster triage, reduced diagnostic errors, and support for radiologist shortages. However, adoption is slowed by budget constraints, integration challenges, staff resistance, and concerns around clinical accuracy and ROI. Larger health systems are advancing more quickly than smaller facilities due to greater resources and technical capabilities. The report recommends a phased adoption strategy focused on workflow-native AI, clear ROI measurement, cross-functional governance, targeted pilot programs, and staff education. As imaging volumes rise and workforce shortages persist, AI is increasingly viewed as a critical tool for improving productivity, patient outcomes, and the overall effectiveness of diagnostic imaging services.

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