Journal of Clinical Neuroscience

<h2>Abstract</h2><h3>Background</h3> Artificial intelligence-based radiomics offers a potential adjunct to the current clinical management of paediatric brain tumours by enabling prediction of key diagnostic features. However, despite promising research, integration into clinical practice remains limited. This may in part reflect limitations in the underlying evidence base. Previous research has …

This work proposes a fully automated approach for segmenting intracranial hemorrhages, focused on aneurysmal SAH. The model outperformed existing methods in accuracy and drastically reduced annotation time. Automated volume estimations matched manual annotations in predicting long-term outcomes and surpassed the modified Fisher scale. These results support integrating AI-based segmentation tools …

Understanding epilepsy, one of the most frequent chronic neurological conditions, requires recognizing it as a spectrum of brain disorders characterized by a persistent tendency to generate seizures. In the 20th century, researchers like James Kiffin Penry advanced the development and clinical testing of antiseizure medications, improving treatment options and patient outcomes. Dr. Penry helped s…