An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes.

Hossein Estiri Zachary H Strasser Sina Rashidian Jeffrey G Klann Kavishwar B WagholikarThomas H McCoyShawn N Murphy

Published in: Journal of the American Medical Informatics Association : JAMIA (2022)

Only a holistic evaluation, a diligent search for unrecognized bias, can provide enough information for an unbiased judgment of AI bias that can invigorate follow-up investigations on identifying the underlying roots of bias and ultimately make a change.

Keyphrases

artificial intelligence
coronavirus disease
sars cov
healthcare
metabolic syndrome
machine learning
deep learning