From the Journals

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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    AI tool designed for flagging findings in CT imaging.

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    Study conducted by Queensland University of Technology.

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    Varied engagement among radiologists reported.

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    Barriers include information overload and medicolegal uncertainties.

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    Implementation is an ongoing process, not a one-time installation.

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    Tool affected by interoperability challenges.

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    Need for clearer communication about system limitations.

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    Continued evaluation necessary for improved integration.

Original Source(s)

Radiology AI in Routine Practice

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

  • by Conexiant News Staff

  • February 17, 2026

  • 2 min

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