Artificial Intelligence Improves Stroke and Dementia Diagnosis

The Imperial College London discovered new software that has improved Stroke and Dementia Diagnosis in patients.

Leah Zitter
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New software created by scientists at Imperial College London and the University of Edinburgh, can identify and measure the severity of small vessel disease. This is one of the most common causes of stroke and dementia. The software can more accurately detect this than current methods, according to a study published in Radiology, by Imperial College Healthcare NHS Trust.

Researchers say that this technology can help clinicians administer the best treatment to patients. Designed to help significantly in emergency settings and predict a person's likelihood of developing dementia. The development may also lead to more personalised medicine. Dr Paul Bentley, lead author and clinical lecturer at Imperial College London, said:

"This is the first time that machine learning methods have been able to accurately measure a marker of small vessel disease in patients presenting with stroke or memory impairment who undergo CT scanning. Our technique is consistent and achieves high accuracy relative to an MRI scan -- the current gold standard technique for diagnosis. This could lead to better treatments and care for patients in everyday practice."

Professor Joanna Wardlaw, head of neuroimaging sciences at the University of Edinburgh added the machine might aid patient assessment at hospital admission with stroke as well.