Artificial Intelligence and Big Data Science in Neurocritical Care
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Updated: Aug 23, 2025

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients
Published on: October 17, 2017
Shraddha Mainali1, Soojin Park2
1Department of Neurology, Virginia Commonwealth University, Richmond, 1101 East Marshall Street, Sanger-6-04, Richmond, VA 23298, USA.
Abstract:
In recent years, the volume of digitalized web-based information utilizing modern computer-based technology for data storage, processing, and analysis has grown rapidly. Humans can process a limited number of variables at any given time. Thus, the deluge of clinically useful information in the intensive care unit environment remains untapped. Innovations in machine learning technology with the development of deep neural networks and efficient, cost-effective data archival systems have provided the infrastructure to apply artificial intelligence on big data for determination of clinical events and outcomes. Here, we introduce a few computer-based technologies that have been tested across these domains.
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