Ability of artificial intelligence to identify self-reported race in chest x-ray using pixel intensity counts.

John Lee BurnsZachary ZaimanJack VanschaikGaoxiang LuoLe PengBrandon PriceGarric MathiasVijay MittalAkshay SaganeChristopher TignanelliSunandan Chakraborty Judy Wawira Gichoya Saptarshi Purkayastha

Published in: Journal of medical imaging (Bellingham, Wash.) (2023)

Within chest x-rays, pixel intensity value counts alone are statistically significant indicators and enough for ML classification tasks of patient self-reported race.

Keyphrases

artificial intelligence
machine learning
deep learning
big data
high intensity
peripheral blood
case report
high resolution
working memory
dual energy
computed tomography
magnetic resonance
contrast enhanced