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

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Anjali Agrawal, Garvit D. Khatri, Bharti Khurana, Aaron D. Sodickson, Yuanyuan Liang, David Dreizin

Published: 13 Mar 2023, Last Modified: 02 Mar 2026Emergency RadiologyEveryoneRevisionsCC BY-SA 4.0
Abstract: 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.