In the study, the researchers used 16 men and 24 women who had a variety of cerebrovascular complaints, such as ischemic stroke and aneurysms. The patients were first given a CT scan or a catheter angiography to diagnose their condition. Then, blinded researchers had the patients undergo a test on the Jan Medical device. The results were also compared against readouts from 30 healthy volunteers.

The researchers said their algorithms were able to "separate normal from all other conditions, to separate all patients with a specific condition into their own category as well as to provide information about the location of the abnormality."

"As we continue to increase our signature library we expect to dramatically improve our location capability as well as the capacity to detect the presence of other neurologic conditions with a high degree of sensitivity and specificity," the researchers added.
The device had an accuracy of 97.3 percent and a sensitivity of 98.8 percent, according to the researchers' PowerPoint presentation.

The scientists foresee applications in the military, the ER and ambulances.

Note: Murphy disclosed a financial relationship with Jan Medical in the abstract.

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