A survey of ASER members on artificial intelligence in emergency radiology: trends, perceptions, and expectations.

ABSTRACT:

Purpose

There is a growing body of diagnostic performance studies for emergency radiology-related artificial intelligence/machine learning (AI/ML) tools; however, little is known about user preferences, concerns, experiences, expectations, and the degree of penetration of AI tools in emergency radiology. Our aim is to conduct a survey of the current trends, perceptions, and expectations regarding AI among American Society of Emergency Radiology (ASER) members.

Methods

An anonymous and voluntary online survey questionnaire was e-mailed to all ASER members, followed by two reminder e-mails. A descriptive analysis of the data was conducted, and results summarized.

Results

A total of 113 members responded (response rate 12%). The majority were attending radiologists (90%)

SUBMITTER: Agrawal A 

PROVIDER: S-EPMC10362990 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature