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Integrating large language models into radiological practice.

Marly van Assen¹, Emanuele Muscogiuri², Carlo N De Cecco²

¹Department of Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA, USA.

European Journal of Radiology

|June 16, 2026

Summary

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Large language models (LLMs) show promise for improving radiology workflows, reporting, and decision support. Careful consideration of accuracy, ethics, and oversight is crucial for safe integration into clinical practice.

Area of Science:

Medical Imaging and Artificial Intelligence
Radiology Informatics

Background:

Large language models (LLMs) are emerging AI tools with potential applications in healthcare.
Radiology is a field ripe for technological advancement to improve efficiency and patient outcomes.

Keywords:

Artificial Intelligence Automated Reporting Clinical decision support Large language models Radiology

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