Predictions obtained by, eg, artificial neural networks have a high accuracy but humans
often perceive the models as black boxes. Insights about the decision making are mostly …

Increased global competition has placed a premium on customer satisfaction, and there is a
greater demand for manufacturers to be flexible with their products and services. This …

Explainable artificial intelligence (AI) is attracting much interest in medicine. Technically, the
problem of explainability is as old as AI itself and classic AI represented comprehensible …

Digital pathology is on the verge of becoming a mainstream option for routine diagnostics.
Faster whole slide image scanning has paved the way for this development, but …

Artificial intelligence (AI) generally and machine learning (ML) specifically demonstrate
impressive practical success in many different application domains, eg in autonomous …

The main impetus for the global efforts toward the current digital transformation in almost all
areas of our daily lives is due to the great successes of artificial intelligence (AI), and in …

Hospital length of stay of patients is a crucial factor for the effective planning and
management of hospital resources. There is considerable interest in predicting the LoS of …

Explainable AI is not a new field. Since at least the early exploitation of CS Pierce's
abductive reasoning in expert systems of the 1980s, there were reasoning architectures to …

Recent increases in computing power, coupled with rapid growth in the availability and
quantity of data have rekindled our interest in the theory and applications of artificial …

Background This paper aims to move the debate forward regarding the potential for artificial
intelligence (AI) and autonomous robotic surgery with a particular focus on ethics, regulation …