The neuroimaging signs of the clot in acute ischemic stroke are relevant for clot biology and
its response to treatment. The diagnostic and predictive value of clot imaging is confirmed by …

This paper provides a comprehensive review of deep learning models for ischemic stroke
lesion segmentation in medical images. Ischemic stroke is a severe neurological disease …

Background Brain stroke is a leading cause of disability and death worldwide, and early
diagnosis and treatment are critical to improving patient outcomes. Current stroke diagnosis …

In the field of stroke imaging, deep learning (DL) has enormous untapped potential. When
clinically significant symptoms of a cerebral stroke are detected, it is crucial to make an …

The prediction of functional outcome after a stroke remains a relevant, open problem. In this
article, we present a systematic review of approaches that have been proposed to predict …

Background Haemorrhage transformation (HT) is a serious complication of intravenous
thrombolysis (IVT) in acute ischaemic stroke (AIS). Accurate and timely prediction of the risk …

Myocardial infarction is one of the most common cardiovascular diseases in emergency
departments. Early prevention of this dangerous condition significantly impacts public health …

Intracranial hemorrhage (ICH) occurs when blood leaks inside the skull as a result of trauma
to the skull or due to medical conditions. ICH usually requires immediate medical and …

Stroke is a major cause of mortality and disability worldwide from which one in four people
are in danger of incurring in their lifetime. The pre-hospital stroke assessment plays a vital …

This study focuses on the application of Explainable Artificial Intelligence (XAI) in Stroke,
heart attack and cancer prediction, highlighting the importance of XAI. This technology helps …