The increasing implementation of programs supported by machine learning in medical contexts will affect psychiatry. It is crucial to accompany this development with careful ethical considerations informed by empirical research involving experts from the fi ...
Medical studies are usually time consuming, cumbersome and extremely costly to perform, and for exploratory research, their results are also difficult to predict a priori. This is particularly the case for rare diseases, for which finding enough patients i ...
Radiomics has shown promising results in several medical studies, yet it suffers from a limited discrimination and informative capability as well as a high variation and correlation with the tomographic scanner types, pixel spacing, acquisition protocol, a ...
A medical student learning to perform a laparoscopic procedure or a recently paralyzed user of a powered wheelchair must learn to operate machinery via interfaces that translate their actions into commands for an external device. Since the user’s actions a ...
Wearable devices, e.g. smart-watches, are gaining popularity in many fields and in wellness monitoring too. In this paper we propose an IoT application to alert the medical doctor assigned to a critical unit by using a smart-watch. The wearable device impr ...
Visualizations need interpretation as a way to grasp the meaning of visual representation. They are complex, and often the process of creation is hidden to the public. Because of this, the following text illustrates a way to read the visual representation ...
Today, the use of computer assistance to guide surgeon's gestures becomes increasingly common for interventions on rigid organs such as the hips and vertebrae. Guidance information is provided through the representation of the position of surgical instrume ...
