Radiologist Preferences for Artificial Intelligence-Based Decision Support During Screening Mammography Interpretation.

ABSTRACT:

Background

Artificial intelligence (AI) may improve cancer detection and risk prediction during mammography screening, but radiologists' preferences regarding its characteristics and implementation are unknown.

Purpose

To quantify how different attributes of AI-based cancer detection and risk prediction tools affect radiologists' intentions to use AI during screening mammography interpretation.

Materials and methods

Through qualitative interviews with radiologists, we identified five primary attributes for AI-based breast cancer detection and four for breast cancer risk prediction. We developed a discrete choice experiment based on these attributes and invited 150 US-based radiologists to participate. Each respondent made eight choices for each tool between three alte

SUBMITTER: Hendrix N 

PROVIDER: S-EPMC9840464 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature