Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative review.

Aimilia GastouniotiShyam DesaiVinayak S AhluwaliaEmily F ConantDespina Kontos

Published in: Breast cancer research : BCR (2022)

We provide a useful reference for AI researchers investigating image-based breast cancer risk assessment while indicating key priorities and challenges that, if properly addressed, could accelerate the implementation of AI-assisted risk stratification to future refine and individualize breast cancer screening strategies.

Keyphrases

artificial intelligence
breast cancer risk
deep learning
machine learning
big data
risk assessment
healthcare
heavy metals
current status
human health
quality improvement
young adults
climate change