Breast cancer risk coordinators: Artificial intelligence-based density measurement and Mullerian-inhibiting substance.

Şevki Pedük Sevcan Sarikaya Mustafa Tekin

Published in: Irish journal of medical science (2022)

PD measurement can be considered as a promising method for the determination of individuals at risk for breast cancer in a large group of patients, but we think that serum MIS levels are not suitable for risk assessment in perimenopausal patients.

Keyphrases

artificial intelligence
risk assessment
end stage renal disease
ejection fraction
newly diagnosed
prognostic factors
machine learning
breast cancer risk
big data
signaling pathway
heavy metals
high resolution
human health