Deep learning-based classification of diseases from Chest X-ray has been shown to use implicit information about the subjects' self-reported race, which could result in diagnostic bias.
Oct 30, 2024
Sep 25, 2024 · ... Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. Proceedings of the 2024 IEEE International Symposium on ...
The aim of this study was to assess racial/ethnic and socioeconomic disparities in the difference between atherosclerotic vascular disease prevalence.
Can computers figure out your race by looking at your wrist bones or lungs? Yes, according to a study published today by the prestigious scientific journal ...
Although most publicly available CXR data sets report age and sex on an image-basis level, few report race or ethnicity and insurance status.
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May 11, 2022 · The deep learning models assessed in this study showed a high ability to detect patient race using chest x-ray scans, with sustained performance ...
To assess racial/ethnic and socioeconomic disparities in the difference between atherosclerotic vascular disease prevalence measured by a multi-task ...
The aim of this study was to assess racial/ethnic and socioeconomic disparities in the difference between atherosclerotic vascular disease prevalence.
Nov 7, 2023 · This study evaluated if coarse race and ethnicity labels could conceal granular ethnic disparities in underdiagnosis rates in DL models for the popular task of ...
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May 20, 2022 · Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.