The John Radcliffe Hospital in Oxford, England as well as hospitals in the nearby counties (i.e., High Wycombe, Milton Keynes, Northampton, Reading, Aylesbury, and Swindon) will be adopting a new artificial intelligence (AI) driven software to help stroke patients in their recovery. These hospitals will become the first stroke network in the country to use AI-driven decision support tools in the management of stroke patients.
Rapid transfer and analysis of high-quality images
The software, developed by Oxford-based company – Brainomix, permits high-resolution CT brain scans to be seamlessly and securely shared across clinical departments and between hospitals. Such rapid transfer of images reassured a faster and better-coordinated response from physicians, as they decide if a patient may benefit from Mechanical Thrombectomy (MT), a procedure involving the removal of blockages in large blood vessels found in the brain, which poses risks for a severe stroke.
On top of that, the software also analyzes images of the patient’s brain and blood vessels immediately after a CT scan is performed to single out regions that are most affected by a stroke and areas with blocked blood vessels. In short, the software was designed to provide an “expert second opinion” to support physicians in making prompter treatment decisions. As such, participating hospitals believe, coupled with the consultations provided by respective interventional radiology teams, patients will be able to receive the right treatment at the most appropriate time.
Futureproof the management of stroke patients
In fact, Royal Berkshire Hospital in Reading, Southeast England became the first hospital to adopt the technology this March. The software was deployed in the hospital’s emergency department to assist in a swift diagnosis of stroke. Physicians working at the Royal Berkshire Hospital believe the software removes extra complexities in reading brain CT scans and has the potential to change patient care for stroke victims.
Time plays a significant role in saving stroke patients; because as many as two million nerve cells are damaged every minute the treatment is delayed. Yet, specialists are not always available as patients come into the emergency department. Thus, the software shall be the assistant to non-specialist doctors in identifying and treating stroke patients. In short, the software futureproofs the management of stroke patients as the adoption brings about better outcomes.