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ABSTRACT: Objectives
Map the current landscape of commercially available artificial intelligence (AI) software for radiology and review the availability of their scientific evidence.Methods
We created an online overview of CE-marked AI software products for clinical radiology based on vendor-supplied product specifications ( www.aiforradiology.com ). Characteristics such as modality, subspeciality, main task, regulatory information, deployment, and pricing model were retrieved. We conducted an extensive literature search on the available scientific evidence of these products. Articles were classified according to a hierarchical model of efficacy.Results
The overview included 100 CE-marked AI products from 54 different vendors. For 64/100 products, there was no peer-reviewed e
SUBMITTER: van Leeuwen KG
PROVIDER: S-EPMC8128724 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature