FDA clears AI assessor of stricken dense brain tissue

An ambulance-based mobile stroke unit created by the University of Texas Health Science Center at Houston (UTHealth) Medical School and Memorial Hermann-Texas Medical Center (TMC). The vehicle has a small head CT scanner to enable imm edit imaging to confirm if a patient had a stroke and what type before they arrive at the hospital to enable faster door to repercussion times, or faster door to tPA administration times. The unit also has a telemedicine system so a neurologist can evaluate patients remotely.

An ambulance-based mobile stroke unit created by the University of Texas Health Science Center at Houston (UTHealth) Medical School and Memorial Hermann-Texas Medical Center (TMC). The vehicle has a small head CT scanner to enable imm edit imaging to confirm if a patient had a stroke and what type before they arrive at the hospital to enable faster door to repercussion times, or faster door to tPA administration times. The unit also has a telemedicine system so a neurologist can evaluate the patient remotely.

An AI startup has received the FDA’s go-ahead to market a new tool within its existing platform that automatically diagnoses stroke and brain injury in hyperdense brain tissue imaged with unenhanced CT.