Abstract Purpose To review eXplainable Artificial Intelligence/(XAI) methods available for
medical imaging/(MI). Method A scoping review was conducted following the Joanna Briggs …

Ischemic stroke is a serious disease posing significant threats to human health and life, with
the highest absolute and relative risks of a poor prognosis following the first occurrence, and …

Despite therapeutic advancements, stroke remains a leading cause of death and long-term
disability. The quality of current stroke prognostic models varies considerably, whereas …

Stroke is a severe medical condition which may lead to permanent disability conditions. The
initial 8 weeks following a stroke are crucial for rehabilitation, as most recovery occurs …

Purpose Clinical risk scores are essential for predicting outcomes in stroke patients. The
advancements in deep learning (DL) techniques provide opportunities to develop prediction …

Background and purpose Impaired upper extremity (UE) motor function is a common
disability after ischemic stroke. Exposure to extremely low frequency and low intensity …

The systemic inflammatory response following acute ischaemic stroke remains incompletely
understood. We characterised the circulating inflammatory profile in 173 acute ischaemic …

Aim Lymph node metastasis is an adverse prognostic factor in pancreatic ductal
adenocarcinoma. However, it remains a challenge to predict lymph node metastasis using …

Objectives Despite successful recanalization after Mechanical Thrombectomy (MT),
approximately 25% of patients with Acute Ischemic Stroke (AIS) due to Large Vessel …

Artificial intelligence (AI) methods have been applied to medical imaging for several
decades, but in the last few years, the number of publications and the number of AI-enabled …