Publications by authors named "M Valle Pease"
Objective: This study aimed to compare magnetic resonance imaging (MRI) severity scores and in-hospital outcomes among neonates with perinatal hypoxic-ischemic encephalopathy (HIE) with and without exposure to sedation-analgesia (SA) during therapeutic hypothermia (TH).
Study Design: A single-center, retrospective cohort study of neonates with perinatal HIE undergoing TH between January 2010 and December 2020. Demographics, clinical characteristics, MRI scores, and in-hospital outcomes were compared between patients without SA exposure and those with SA use.
Article Synopsis
- The study aimed to explore how topical 2% ripasudil (a Rho kinase inhibitor) protects the nervous system, specifically looking at retinal ganglion cell (RGC) loss in mice exposed to increased intraocular pressure (IOP) and optic nerve damage.
- Results showed that ripasudil significantly reduced RGC axon and soma loss compared to saline-treated controls, indicating its protective effects against nerve damage.
- The findings suggest that ripasudil works by suppressing ROCK signaling pathways in the retina and optic nerve, affecting both RGCs and astrocyte responses to elevated IOP.
Traumatic brain injury is the leading cause of death and disability worldwide. Despite this large impact, no predictive models are in widespread use due to tedious data collection requirements, lack of provider trust, and poor performance. Furthermore, these models use simple, often binary, data elements that fail to capture the complex heterogeneity of traumatic brain injury.
View Article and Find Full Text PDFDeclaration of Computational Neurosurgery.
Adv Exp Med Biol
November 2024
Article Synopsis
- Computational neurosurgery combines artificial intelligence and computational modeling to enhance the diagnosis and treatment of neurosurgical conditions, aiming to advance clinical neurosciences.
- The field seeks to integrate ethical considerations to ensure that the use of AI is conducted responsibly and prioritizes patient care, ultimately aiming to prevent errors in treatment.
- This initiative serves as a guide for practitioners, ethicists, and scientists in the application of ethical standards within computational neurosurgery.
Purpose: Artificial Intelligence (AI) has become increasingly integrated clinically within neurosurgical oncology. This report reviews the cutting-edge technologies impacting tumor treatment and outcomes.
Methods: A rigorous literature search was performed with the aid of a research librarian to identify key articles referencing AI and related topics (machine learning (ML), computer vision (CV), augmented reality (AR), virtual reality (VR), etc.