Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel.

ABSTRACT:

Background

AI/ML CAD tools can potentially improve outcomes in the high-stakes, high-volume model of trauma radiology. No prior scoping review has been undertaken to comprehensively assess tools in this subspecialty.

Purpose

To map the evolution and current state of trauma radiology CAD tools along key dimensions of technology readiness.

Methods

Following a search of databases, abstract screening, and full-text document review, CAD tool maturity was charted using elements of data curation, performance validation, outcomes research, explainability, user acceptance, and funding patterns. Descriptive statistics were used to illustrate key trends.

Results

A total of 4052 records were screened, and 233 full-text articles were selected for content analysis. Twenty-on

SUBMITTER: Dreizin D 

PROVIDER: S-EPMC10640925 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature