Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons.

Heather M Whitney Natalie Baughan Kyle J Myers Kenny H Cha Judy Wawira GichoyaBrad BowerWeijie ChenNicholas Gruszauskas Jayashree Kalpathy-Cramer Oluwasanmi O Koyejo Rui Carlos SáBerkman SahinerZi ZhangMaryellen L Giger

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

The representativeness of the open medical imaging datasets in the curated public data commons at MIDRC has evolved over time as the number of contributing institutions and overall number of subjects have grown. The use of metrics, such as the JSD support measurement of representativeness, is one step needed for fair and generalizable AI algorithm development.

Keyphrases

electronic health record
healthcare
high resolution
big data
minimally invasive
machine learning
artificial intelligence
mental health
deep learning
data analysis
adverse drug
neural network
clinical evaluation