715521450 Research into non-invasive assessment of cerebral perfusion in traumatic brain injury using machine learning analysis of continuous trans-cranial Doppler waveforms – a pilot study

Description

Patients with severe brain injury following trauma are at high risk of death and long-term disability. This is particularly important in military settings where some of the standard elements of management available in developed healthcare systems may not be available. One specific area where management is challenging relates to the detection and treatment of brain swelling that typically follows injury. Failure to act on increased brain swelling can lead to a devastating reduction in brain blood flow and a worse outcome for the patient. This project will look to understand early signals of brain swelling in the waveform by using machine learning technique.