Intracerebral hemorrhage (ICH) is a high mortality rate, critical medical injury, produced by
the rupture of a blood vessel of the vascular system inside the skull. ICH can lead to …

The CHAIMELEON project aims to set up a pan-European repository of health imaging data,
tools and methodologies, with the ambition to set a standard and provide resources for …

Ischemic stroke lesion segmentation using different types of images, such as Computed
Tomography Perfusion (CTP), is important for medical and Artificial intelligence fields. These …

Purpose Deep learning has shown great promise as the backbone of clinical decision
support systems. Synthetic data generated by generative models can enhance the …

Artificial Intelligence (AI) is rapidly integrating into various aspects of our daily lives,
influencing decision-making processes in areas such as targeted advertising and …

In this viewpoint, we argue for the importance of creating data spaces for genomic research
that are detached from contexts in which fundamental rights concerns related to surveillance …

Importance Artificial intelligence (AI) training for diagnosing dermatologic images requires
large amounts of clean data. Dermatologic images have different compositions, and many …

In spite of an exponential increase in the volume of medical data produced globally, much of
these data are inaccessible to those who might best use them to develop improved health …

A huge amount of imaging data is becoming available worldwide and an incredible range of
possible improvements can be provided by artificial intelligence algorithms in clinical care …

Despite technological and medical advances, the detection, interpretation, and treatment of
cancer based on imaging data continue to pose significant challenges. These include high …