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Review
. 2023 Oct;96(1150):20221031.
doi: 10.1259/bjr.20221031. Epub 2023 Apr 26.

Clinical applications of artificial intelligence in radiology

Claudia Mello-Thoms  1 , Carlos A B Mello  2
Affiliations
Review

Clinical applications of artificial intelligence in radiology

Claudia Mello-Thoms et al. Br J Radiol. 2023 Oct.

Abstract

The rapid growth of medical imaging has placed increasing demands on radiologists. In this scenario, artificial intelligence (AI) has become an attractive partner, one that may complement case interpretation and may aid in various non-interpretive aspects of the work in the radiological clinic. In this review, we discuss interpretative and non-interpretative uses of AI in the clinical practice, as well as report on the barriers to AI's adoption in the clinic. We show that AI currently has a modest to moderate penetration in the clinical practice, with many radiologists still being unconvinced of its value and the return on its investment. Moreover, we discuss the radiologists' liabilities regarding the AI decisions, and explain how we currently do not have regulation to guide the implementation of explainable AI or of self-learning algorithms.

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Conflict of interest statement

Competing interestsThe authors declare no competing interests.

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