AI-Supported Neuroimaging: Artificial Intelligence in the Triage of Acute Stroke and Head Injury

Acute stroke and traumatic head injuries are medical emergencies that require rapid diagnosis and immediate treatment. In such cases, every minute is critical because delayed treatment can lead to severe brain damage or death. Neuroimaging techniques such as CT scans and MRI scans are essential for detecting brain hemorrhages, ischemic strokes, and traumatic brain injuries. However, the availability of trained neuroradiologists is limited in many healthcare settings, particularly in rural and resource-constrained areas.

Artificial Intelligence has emerged as a powerful tool to assist clinicians in analysing neuroimaging data quickly and accurately. AI-supported neuroimaging systems use deep learning models trained on thousands of CT and MRI scans to detect abnormalities in brain images. These models can automatically identify signs of intracranial hemorrhage, stroke lesions, skull fractures, and swelling.

For additional context and detailed documentation of this use case, please refer to pages 107-118 in the attached Casebook.