Radiology AI in Routine Practice

Real-world deployment reveals adoption gaps and varying engagement with regulator-approved artificial intelligence decision support tools

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A regulator-approved AI tool influenced radiology workflow but had a real-world impact that differed from initial expectations.
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The study involved qualitative interviews to explore adoption patterns and clinician experiences during AI implementation.
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Clinicians noted the AI tool could help highlight cases during high workloads, but engagement varied among users.
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Barriers to sustained engagement included information overload, inconsistent performance, and uncertainty about liability.
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The authors emphasized the need for ongoing evaluation, clearer governance, and sustained radiologist engagement during deployment.

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