AI could change the way we measure brain pressure in neurocritical patients

Credit: Johns Hopkins University A Johns Hopkins University research team has developed an algorithm to non-invasively measure intracranial pressure (ICP) using vital sign data routinely checked in the ICU. The new method leverages deep learning techniques to generate ICP measurements with an accuracy comparable to the current gold-standard approach, which requires drilling through the skull. “Non-invasive ICP measurement is something of a holy grail in intensive care medicine. This new method could be a game changer because we could potentially offer the ability to obtain ICP measurements without performing this extremely invasive procedure,” said senior author Robert Stevens, an associate Read More