Artificial intelligence in breast cancer screening: primary care provider preferences.

ABSTRACT:

Background

Artificial intelligence (AI) is increasingly being proposed for use in medicine, including breast cancer screening (BCS). Little is known, however, about referring primary care providers' (PCPs') preferences for this technology.

Methods

We identified the most important attributes of AI BCS for ordering PCPs using qualitative interviews: sensitivity, specificity, radiologist involvement, understandability of AI decision-making, supporting evidence, and diversity of training data. We invited US-based PCPs to participate in an internet-based experiment designed to force participants to trade off among the attributes of hypothetical AI BCS products. Responses were analyzed with random parameters logit and latent class models to assess how different attributes affect t

SUBMITTER: Hendrix N 

PROVIDER: S-EPMC8200265 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature