Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE).

ABSTRACT:

Objective

There has been a large amount of research in the field of artificial intelligence (AI) as applied to clinical radiology. However, these studies vary in design and quality and systematic reviews of the entire field are lacking.This systematic review aimed to identify all papers that used deep learning in radiology to survey the literature and to evaluate their methods. We aimed to identify the key questions being addressed in the literature and to identify the most effective methods employed.

Methods

We followed the PRISMA guidelines and performed a systematic review of studies of AI in radiology published from 2015 to 2019. Our published protocol was prospectively registered.

Results

Our search yielded 11,083 results. Seven hundred sixty-seven full texts wer

SUBMITTER: Kelly BS 

PROVIDER: S-EPMC9668941 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature