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

Nathaniel HendrixBrett HauberChristoph I LeeAasthaa BansalDavid L Veenstra

Published in: Journal of the American Medical Informatics Association : JAMIA (2021)

Sensitivity was the most important attribute overall, but other key attributes should be addressed to produce clinically acceptable products. We also found that most PCPs accept the use of AI to make determinations about likely negative mammograms without radiologist confirmation.

Keyphrases

artificial intelligence
primary care
machine learning
big data
deep learning
general practice
decision making
breast cancer risk