Data mining involves the use of mathematical sciences, statistics, artificial intelligence, and
machine learning to determine the relationships between variables from a large sample of …

As we increasingly delegate important decisions to intelligent systems, it is essential that
users understand how algorithmic decisions are made. Prior work has often taken a …

El aprendizaje automático es una poderosa rama de la Inteligencia Artificial que se ha
utilizado con éxito en distintas industrias. En los últimos años con la creciente disponibilidad …

Artificial intelligence (AI) is an exciting field combining computer science with robust data
sets to facilitate problem-solving. It has the potential to transform education, practice and …

It is essential that users understand how algorithmic decisions are made, as we increasingly
delegate important decisions to intelligent systems. Prior work has often taken a techno …

Human-AI collaborative decision-making tools are being increasingly applied in critical
domains such as healthcare. However, these tools are often seen as closed and …

Deep learning (DL)-based algorithms have demonstrated remarkable results in potentially
improving the performance and the efficiency of healthcare applications. Since the data …

Abstract Eyelid tumors accounts for 5–10% of skin tumors. It is important but difficult to
identify malignant eyelid tumors from benign lesions in a cost-effective way. Traditional …

Introduction In the field of pediatric trauma computer-aided detection (CADe) and computer-
aided diagnosis (CADx) systems have emerged offering a promising avenue for improved …

Background The use of different imaging modalities to assist in skin cancer diagnosis is a
common practice in clinical scenarios. Different features representative of the lesion under …