The growing capabilities of AI raise questions about their trustworthiness in healthcare,
particularly due to opaque decision-making and limited data availability. This paper …

Abstract Background and Objective: The application of AI technologies in safety critical
contexts, such as medicine, requires the implementation of safety measures to reduce the …

There is great excitement that medical artificial intelligence (AI) based on machine learning
(ML) can be used to improve decision making at the patient level in a variety of healthcare …

Background We focus on the importance of interpreting the quality of the labeling used as
the input of predictive models to understand the reliability of their output in support of human …

There is much to learn from Durán and Jongsma's paper. 1 One particularly important insight
concerns the relationship between epistemology and ethics in medical artificial intelligence …

Clinician-facing predictive models are increasingly present in the healthcare setting.
Regardless of their success with respect to performance metrics, all models have …

Technological trends point to Artificial Intelligence (AI) as a crucial tool in healthcare, but its
development must respect human rights and ethical standards to ensure robustness and …

Medical AI has tremendous potential to advance healthcare by supporting the evidence-
based practice of medicine, personalizing patient treatment, reducing costs, and improving …

Machine learning is burgeoning in the clinical decision support domain, with the potential to
bolster the power of decision support systems, improving data-informed clinical decision …

The Intensive Care Unit (ICU) is a hospital department where machine learning has the
potential to provide valuable assistance in clinical decision making. Classical machine …