Stroke is a medical condition that affects around 15 million people annually. Patients and
their families can face severe financial and emotional challenges as it can cause motor …

Stroke remains a significant global health concern, necessitating precise and efficient
diagnostic tools for timely intervention and improved patient outcomes. The emergence of …

Large Language Models (LLMs) have introduced a new era of proficiency in comprehending
complex healthcare and biomedical topics. However, there is a noticeable lack of models in …

The incidence of nerve tissue injuries, such as peripheral nerve injury, spinal cord injury,
traumatic brain injury, and various neurodegenerative diseases (NDs), is continuously …

Arthritis, a leading cause of disability worldwide, predominantly manifests as osteoarthritis
(OA) and rheumatoid arthritis (RA). Traditional diagnostic methods for arthritis, including …

Brain stroke, or a cerebrovascular accident, is a devastating medical condition that disrupts
the blood supply to the brain, depriving it of oxygen and nutrients. Each year, according to …

Magnetic resonance imaging (MRI) and MRI based computational modelling studies provide
insights into severity and recovery of ischemic stroke patients. The presence of brain lesions …

The potential benefit of introducing AI to stroke, in imaging and elsewhere, is now
unquestionable, but the optimal approach–and the path to real-world application–remain …

The rise of digital currency and the public ledger Block Chain has led to the development of
a new type of electronic contract known as" smart contracts." For these contracts to be …

This paper proposes a novel convolutional neural network (CNN) architecture designed for
semantic segmentation in remote sensing images. The proposed W13 Net model addresses …