Remote health care is currently one of the most promising solutions to ensure a high level of
treatment outcome, cost-efficiency and sustainability of the healthcare systems worldwide …

Supervised deep learning models have proven to be highly effective in classification of
dermatological conditions. These models rely on the availability of abundant labeled training …

Surrogate models for partial differential equations are widely used in the design of
metamaterials to rapidly evaluate the behavior of composable components. However, the …

Contemporary vision benchmarks predominantly consider tasks on which humans can
achieve near-perfect performance. However, humans are frequently presented with visual …

Machine learning is expected to fuel significant improvements in medical care. To ensure
that fundamental principles such as beneficence, respect for human autonomy, prevention of …

Atrial fibrillation (AF) is the most common arrhythmia found in the intensive care unit (ICU),
and is associated with many adverse outcomes. Effective handling of AF and similar …

Introduction Medical toxicology is the clinical specialty that treats the toxic effects of
substances, for example, an overdose, a medication error, or a scorpion sting. The volume of …

Abstract According to the Probability Ranking Principle (PRP), ranking documents in
decreasing order of their probability of relevance leads to an optimal document ranking for …

AI is black-box and non-explainable, in other words, due to the complexity of the decision-
making process of AI, people are unable to know why and how AI makes the decision. For …

Unpredictable ML model behavior on unseen data, especially in the health domain, raises
serious concerns about its safety as repercussions for mistakes can be fatal. In this paper …