Artificial intelligence technology is a rapidly expanding field with many applications in acute
stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute …

The application of machine learning has rapidly evolved in medicine over the past decade.
In stroke, commercially available machine learning algorithms have already been …

A stroke is caused when blood flow to a part of the brain is stopped abruptly. Without the
blood supply, the brain cells gradually die, and disability occurs depending on the area of …

Artificial intelligence (AI) is a disruptive technology that involves the use of computerised
algorithms to dissect complicated data. Among the most promising clinical applications of AI …

Most of strokes will occur due to an unexpected obstruction of courses by prompting both the
brain and heart. Early awareness for different warning signs of stroke can minimize the …

The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …

In this community review report, we discuss applications and techniques for fast machine
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …

Background The implementation of artificial intelligence technology in health care improves
disease prediction, classification, and diagnosis, benefiting both patients and healthcare …

Ischemic lesion segmentation and the time since stroke (TSS) onset classification from
paired multi-modal MRI imaging of unwitnessed acute ischemic stroke (AIS) patients is …

Background In recent years, machine learning (ML) has had notable success in providing
automated analyses of neuroimaging studies, and its role is likely to increase in the future …