Confounders mediate AI prediction of demographics in medical imaging

• Published in: NPJ digital medicine Vol. 5; no. 1; p. 188
• Main Authors: Duffy, Grant, Clarke, Shoa L., Christensen, Matthew, He, Bryan, Yuan, Neal, Cheng, Susan, Ouyang, David
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 22.12.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114/1305; 631/114/2397; Age; Artificial intelligence; Biomedicine; Biotechnology; Confounding (Statistics); Deep learning; Demographics; Medical imaging; Medicine; Medicine & Public Health

Deep learning has been shown to accurately assess “hidden” phenotypes from medical imaging beyond traditional clinician interpretation. Using large echocardiography datasets from two healthcare systems, we test whether it is possible to predict age, race, and sex from cardiac ultrasound images using...