AI for Neurocritical Care Promises Transformative Progress

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With little fanfare, neurologists and neuroscientists use AI to distill insights from neurocritical care unit monitors, aiming to enhance patient outcomes. While these technologies await extensive trials, their demonstrated accuracy fuels researchers’ enthusiasm.

Dr. Soojin Park, an associate professor of neurology at Columbia University Vagelos College of Medicine, emphasizes the data abundance in brain function monitors, hinting at untapped information.

In 2021, Dr. Park’s study in Stroke unveiled an AI tool predicting delayed cerebral ischemia after subarachnoid hemorrhage with 0.83 percent accuracy, 12 hours before detection. A 2022 Neurocritical Care paper, authored by Dr. Park, predicted shunt dependency with notable sensitivity, specificity, and area under the receiver operating curve values.

Dr. Park leads NIH-funded projects optimizing acute hydrocephalus management and monitoring delayed cerebral ischemia using AI. However, she stresses cautious progression from bench research to practical applications.

 

Source Columbia University

Neurologica
Author: Neurologica