Artificial intelligence (AI) systems have increasingly achieved expert-level performance in
medical imaging applications. However, there is growing concern that such AI systems may …

Despite increasing numbers of regulatory approvals, deep learning-based computational
pathology systems often overlook the impact of demographic factors on performance …

Deep learning has become a popular tool for computer-aided diagnosis using medical
images, sometimes matching or exceeding the performance of clinicians. However, these …

In healthcare, gender and sex considerations are crucial because they affect individuals'
health and disease differences. Yet, most algorithms deployed in the healthcare context do …

There has been increased excitement around the use of machine learning (ML) and artificial
intelligence (AI) in dermatology for the diagnosis of skin cancers and assessment of other …

Abstract In the United States, primary open-angle glaucoma (POAG) is the leading cause of
blindness, especially among African American and Hispanic individuals. Deep learning has …

Artificial intelligence (AI) systems have increasingly achieved expert-level performance,
particularly in medical imaging (‎ 1). However, there is growing concern that AI systems will …

Das Konzept der epistemischen Ungerechtigkeit, wie es zu Beginn des 21. Jahrhunderts
maßgeblich im englischsprachigen Raum geprägt und diskutiert, erweitert sowie anhand …