[Artificial intelligence in radiology : Literature overview and reading recommendations].

Abstract

Background: Due to the ongoing rapid advancement of artificial intelligence (AI), including large language models (LLMs), radiologists will soon face the challenge of the responsible clinical integration of these models.

Objectives: The aim of this work is to provide an overview of current developments regarding LLMs, potential applications in radiology, and their (future) relevance and limitations.

Materials and methods: This review analyzes publications on LLMs for specific applications in medicine and radiology. Additionally, literature related to the challenges of clinical LLM use was reviewed and summarized.

Results: In addition to a general overview of current literature on radiological applications of LLMs, several particularly noteworthy studies on the subject are recommended.

Conclusions: In order to facilitate the forthcoming clinical integration of LLMs, radiologists need to engage with the topic, understand various application areas, and be aware of potential limitations in order to address challenges related to patient safety, ethics, and data protection.