Assessment of breast positioning criteria in mammographic screening: Agreement between artificial intelligence software and radiographers.

Gunvor G WaadeAnders Skyrud DanielsenÅsne S HolenMarthe LarsenBerit HanestadNina-Merete HoplandVanya KalchevaSolveig Hofvind

Published in: Journal of medical screening (2021)

AI has great potential in evaluating breast position criteria in mammography by reducing subjectivity. However, varying agreement between radiographers and AI was observed. Standardized and evidence-based criteria for definitions, understandings and assessment methods are needed to reach optimal image quality in mammography.

Keyphrases

artificial intelligence
image quality
machine learning
big data
deep learning
computed tomography
contrast enhanced
dual energy
magnetic resonance imaging
magnetic resonance
risk assessment
data analysis