The limits of fair medical imaging ai in the wild
As artificial intelligence (AI) rapidly approaches human-level performance in medical
imaging, it is crucial that it does not exacerbate or propagate healthcare disparities. Prior …
imaging, it is crucial that it does not exacerbate or propagate healthcare disparities. Prior …
Towards objective and systematic evaluation of bias in medical imaging AI
Artificial intelligence (AI) models trained using medical images for clinical tasks often exhibit
bias in the form of disparities in performance between subgroups. Since not all sources of …
bias in the form of disparities in performance between subgroups. Since not all sources of …
Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging
Objective Artificial intelligence (AI) models trained using medical images for clinical tasks
often exhibit bias in the form of subgroup performance disparities. However, since not all …
often exhibit bias in the form of subgroup performance disparities. However, since not all …
HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling
The integration of diverse clinical modalities such as medical imaging and the tabular data
obtained by the patients' Electronic Health Records (EHRs) is a crucial aspect of modern …
obtained by the patients' Electronic Health Records (EHRs) is a crucial aspect of modern …