Computational cytology is a critical, rapid-develo**, yet challenging topic in medical
image computing concerned with analyzing digitized cytology images by computer-aided …

Traceability is considered a key requirement for trustworthy artificial intelligence (AI), related
to the need to maintain a complete account of the provenance of data, processes, and …

Computational pathology is currently witnessing a surge in the development of AI
techniques, offering promise for achieving breakthroughs and significantly impacting the …

Recently artificial intelligence (AI) and machine learning (ML) models have demonstrated
remarkable progress with applications developed in various domains. It is also increasingly …

Provenance is information describing the lineage of an object, such as a dataset or
biological material. Since these objects can be passed between organizations, each …

A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles
were proposed in 2016 as prerequisites for proper data management and stewardship, with …

Artificial intelligence (AI) is revolutionizing biodiversity research by enabling advanced data
analysis, species identification, and habitats monitoring, thereby enhancing conservation …

Reproducibility is one of the core dimensions that concur to deliver Trustworthy Artificial
Intelligence. Broadly speaking, reproducibility can be defined as the possibility to reproduce …

Abstract Machine learning (ML) has already fundamentally changed several businesses.
More recently, it has also been profoundly impacting the computational science and …

As Artificial Intelligence (AI) becomes more pervasive in our society, it is crucial to develop,
deploy, and assess Responsible and Trustworthy AI (RTAI) models, ie, those that consider …