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Implementing Artificial Intelligence for Emergency Radiology Impacts Physicians' Knowledge and Perception: A

Boj Friedrich Hoppe¹, Johannes Rueckel, Yevgeniy Dikhtyar

¹From the Department of Radiology, University Hospital, LMU Munich, Munich, Germany (B.F.J., J.Rueckel, Y.D., M.H., N.F., B.O.S., J.Ricke, J.Rudolph, C.C.C.); and Institute of Neuroradiology, University Hospital, LMU Munich, Munich, Germany (J.R.).

Investigative Radiology

|October 16, 2023

Summary

Artificial intelligence (AI) in emergency radiology improved physician confidence in reducing missed findings and increased knowledge of AI. AI serves as a valuable "second reader" to support, not replace, medical professionals.

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Area of Science:

Radiology
Medical Informatics
Artificial Intelligence

Background:

Emergency radiology workflows can be enhanced with AI tools for improved diagnostic accuracy.
Physician perception and knowledge regarding AI integration are crucial for successful adoption.

Purpose of the Study:

To assess the impact of an AI solution for fracture detection on emergency radiology physicians' perceptions and knowledge.
To evaluate changes in physician confidence and understanding of AI in clinical practice.

Main Methods:

A prospective interventional survey was conducted pre- and post-AI implementation.
Radiologists and traumatologists rated their knowledge and perception of AI using a 7-point Likert scale.
Statistical analysis included Wilcoxon signed rank test for paired data.

Main Results:

Physicians reported increased confidence that AI reduced missed findings and made them feel safer, though not faster.
There was increased disagreement that AI could replace radiological reports.
Self-reported knowledge of clinical AI, its chances, and risks significantly improved post-implementation.

Conclusions:

AI implementation in emergency radiology has an educational effect, enhancing physician understanding.
AI functions effectively as a
second reader,
supporting physicians rather than replacing them.