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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A recent study from Queensland University of Technology, published in the Journal of Medical Internet Research, investigates the real-world implications of an AI decision support tool in radiology. The tool, designed to flag potential findings in CT imaging, showed varied engagement among radiologists, impacted by factors such as workload, information overload, interoperability issues, and concerns over medicolegal liability. The study emphasizes that successful implementation requires ongoing evaluation and improvement of operational integration to truly benefit clinical practice.

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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