In recent years, artificial intelligence (AI) has shown great promise in medicine. However,
explainability issues make AI applications in clinical usages difficult. Some research has …

Artificial intelligence (AI) has entered the mainstream as computing power has improved.
The healthcare industry is undergoing dramatic transformations at present. One of the most …

Background Artificial intelligence (AI) for healthcare presents potential solutions to some of
the challenges faced by health systems around the world. However, it is well established in …

Earth system models (ESMs) are our main tools for quantifying the physical state of the Earth
and predicting how it might change in the future under ongoing anthropogenic forcing. In …

Analysis of big data by machine learning offers considerable advantages for assimilation
and evaluation of large amounts of complex health-care data. However, to effectively use …

Abstract Background Artificial Intelligence (AI) techniques are being applied in nursing and
midwifery to improve decision‐making, patient care and service delivery. However, an …

Over the past decade, AI has been used to aid or even replace humans in many
professional fields. There are now robots delivering groceries or working in assembling lines …

Advanced AI systems are rapidly making their way into medical research and practice, and,
arguably, it is only a matter of time before they will surpass human practitioners in terms of …

Empathy, compassion and trust are fundamental values of a patient-centred, relational
model of health care. In recent years, the quest for greater efficiency in health care, including …

In the rapidly evolving landscape of organizational technologies, the integration of Artificial
Intelligence (AI) into Administrative Information Systems (AIS) stands out as a pivotal and …