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 …

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 …

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 …

Artificial Intelligence (AI) has emerged as a transformative technology with immense
potential in the field of medicine. By leveraging machine learning and deep learning, AI can …

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

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 …

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 …

Objective Artificial intelligence (AI) has been increasingly applied in various fields of science
and technology. In line with the current research, medicine involves an increasing number of …