A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare
Jana Fehr(Hasso Plattner Institute), Vince I. Madai(Birmingham City University), Brian Citro, Christoph Lippert(Hasso Plattner Institute), Rohit Malpani(Délégation Paris 6)
Cited by 109
Related Papers
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
|BMC Medical Informatics and Decision Making|2020|1.8k
A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease
|Frontiers in Neuroscience|2019|264
Glutamatergic axons from the lateral habenula mainly terminate on GABAergic neurons of the ventral midbrain
|Neuroscience|2010|247
Pathogenic variants damage cell composition and single cell transcription in cardiomyopathies
|Science|2022|235
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
|PLOS Digital Health|2022|205