Latest AI and machine learning research in ethics for healthcare professionals.
Increasingly music has been shown to have both physical and mental health benefits including improvements in cardiovascular health, a link to reduction of cases of dementia in elderly populations, and improvements in markers of general mental well-being such as stress reduction. Here, we describe short case studies addressing general mental well-being (anxiety, stress-reduction) through AI-driven ...
Industrial Internet of Things (IIoT) ensures reliable and efficient data exchanges among the industrial processes using Artificial Intelligence (AI) within the cyber-physical systems. In the IIoT ecosystem, devices of industrial applications communicate with each other with little human intervention. They need to act intelligently to safeguard the data confidentiality and devices' authenticity. Th...
This paper spotlights ways in which sexual capacities relate to central human capabilities, such as the ability to generate a personally meaningful st...
In this paper we argue that transparency of machine learning algorithms, just as explanation, can be defined at different levels of abstraction. We cr...
The study of morphological modularity using anatomical networks is growing in recent years. A common strategy to find the best network partition uses ...
With the fast development of cutting-edge technologies and their greater integration into human life, more ethical challenges emerge. The problem beca...
Within the context of the intersection of the global megatrends of urbanisation, ageing societies and digitalisation, this paper explores older people...
This study focuses on the role of bioethics in designing public healthcare policies towards elderly patients with cancer. The general overview of publ...
Artificial intelligence (AI) in nuclear medicine has gained significant traction and promises to be a disruptive, but innovative, technology. Recent d...
The ubiquity of social media usage has led to exciting new technologies such as machine learning. Machine learning is poised to change many fields of ...
Non-experts have long made important contributions to machine learning (ML) by contributing training data, and recent work has shown that non-experts ...
BACKGROUND: Our human societies and certainly also (bio) medicine are more and more permeated with technology. There seems to be an increasing awarene...
This paper argues that data-driven medicine gives rise to a particular normative challenge. Against the backdrop of a distinction between the good and...
In climate science, climate models are one of the main tools for understanding phenomena. Here, we develop a framework to assess the fitness of a clim...
BACKGROUND: Textual corpora are extremely important for various NLP applications as they provide information necessary for creating, setting and testi...
This article presents a mapping review of the literature concerning the ethics of artificial intelligence (AI) in health care. The goal of this review...
Nurses have traditionally been regarded as clinicians that deliver compassionate, safe, and empathetic health care (Nurses again outpace other profess...
One of the main difficulties in assessing artificial intelligence (AI) is the tendency for people to anthropomorphise it. This becomes particularly pr...
Artificial intelligence is rapidly transforming the landscape of medicine. Specifically, algorithms powered by deep learning are already gaining incre...
Contemporary bioethics was fledged and is sustained by challenges posed by new technologies. These technologies have affected many lives. Yet health i...