[HTML][HTML] AI recognition of patient race in medical imaging: a modelling study
Background Previous studies in medical imaging have shown disparate abilities of artificial
intelligence (AI) to detect a person's race, yet there is no known correlation for race on …
intelligence (AI) to detect a person's race, yet there is no known correlation for race on …
Reading race: AI recognises patient's racial identity in medical images
Background: In medical imaging, prior studies have demonstrated disparate AI performance
by race, yet there is no known correlation for race on medical imaging that would be obvious …
by race, yet there is no known correlation for race on medical imaging that would be obvious …
Confounders mediate AI prediction of demographics in medical imaging
Deep learning has been shown to accurately assess “hidden” phenotypes from medical
imaging beyond traditional clinician interpretation. Using large echocardiography datasets …
imaging beyond traditional clinician interpretation. Using large echocardiography datasets …
Implications of predicting race variables from medical images
There are now more than 500 US Food and Drug Administration (FDA)-approved medical
artificial intelligence (AI) devices, and AI is used in diverse medical tasks such as assessing …
artificial intelligence (AI) devices, and AI is used in diverse medical tasks such as assessing …
Algorithmic encoding of protected characteristics in chest X-ray disease detection models
Background It has been rightfully emphasized that the use of AI for clinical decision making
could amplify health disparities. An algorithm may encode protected characteristics, and …
could amplify health disparities. An algorithm may encode protected characteristics, and …
Understanding biases and disparities in radiology AI datasets: a review
Artificial intelligence (AI) continues to show great potential in disease detection and
diagnosis on medical imaging with increasingly high accuracy. An important component of …
diagnosis on medical imaging with increasingly high accuracy. An important component of …
Risk of bias in chest radiography deep learning foundation models
Purpose To analyze a recently published chest radiography foundation model for the
presence of biases that could lead to subgroup performance disparities across biologic sex …
presence of biases that could lead to subgroup performance disparities across biologic sex …
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
Artificial intelligence (AI) systems for computer-aided diagnosis and image-based screening
are being adopted worldwide by medical institutions. In such a context, generating fair and …
are being adopted worldwide by medical institutions. In such a context, generating fair and …
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
Artificial intelligence (AI) systems have increasingly achieved expert-level performance in
medical imaging applications. However, there is growing concern that such AI systems may …
medical imaging applications. However, there is growing concern that such AI systems may …
“Shortcuts” causing bias in radiology artificial intelligence: causes, evaluation and mitigation.
Despite the expert-level performance of AI models for various medical imaging tasks, real-
world performance failures with disparate outputs for various subgroups limit the usefulness …
world performance failures with disparate outputs for various subgroups limit the usefulness …