Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm
shift to healthcare, powered by increasing availability of healthcare data and rapid progress …

Background and aims Accurate prognostication of stroke may help in appropriate therapy
and rehabilitation planning. In the past few years, several machine learning (ML) algorithms …

Stroke is a leading cause of disabilities in adults and the elderly which can result in
numerous social or economic difficulties. If left untreated, stroke can lead to death. In most …

Artificial intelligence (AI) has the potential of detecting significant interactions in a dataset
and also it is widely used in several clinical conditions to expect the results, treat, and …

Stroke is one of the main causes of death and disability in elderly people worldwide. Early
diagnosis of this disease is desirable. An electrocardiogram (ECG) signal is a powerful tool …

Recently, with the rapid change to an aging society and the increased interest in healthcare,
disease prediction and management through various healthcare devices and services is …

Artificial intelligence (AI) systems exhibit human-like intelligence. Human intelligence is
converted to machines or computer technologies using AI algorithms. Machine learning (ML) …

Teleneurology has provided access to neurological expertise and state-of-the-art stroke care
where previously they have been inaccessible. The use of Artificial Intelligence with …

Cyber-Healthcare is an emerging field of the healthcare domain that builds upon cyber
physical health systems (CPHSs) to provide pervasive access to medical services any time …

Abstract Machine learning is an approach of artificial intelligence (AI) where the machine
can automatically learn and improve its performance on experience. It is not explicitly …