New AI software doubles stroke diagnosis accuracy

The Manila Times

New AI software doubles stroke diagnosis accuracy  New AI software can read the brain scans of patients who have had a stroke to more accurately determine the timing of the stroke and assist physicians in deciding if it can be effectively treated.  The aim for this new technology is to provide more prompt and precise emergency treatment for patients in a hospital environment. The importance of knowing when the stroke started is crucial, as standard treatments are only effective in the very early stages following a stroke — any delay could result in further harm.  The software, devised by researchers from Imperial College London, Technical University of Munich, and Edinburgh University, addresses two of the most difficult challenges in assessing stroke patients — identifying the onset time of the stroke and whether the damage can be reversed.  Dr Bentley, who is also a consultant neurologist at Imperial College Healthcare NHS Trust, which has one of eight hyper acute stroke units in London, said the software has been found to be twice as accurate as the current method – a visual assessment of the scan by a medical professional, who considers how dark a stroke area appears on CT scans of the brain.  REUTERS / DR PAUL BENTLEY  Subscribe to The Manila Times Channel - https://tmt.ph/YTSubscribe    Visit our website at https://www.manilatimes.net    Follow us:  Facebook - https://tmt.ph/facebook  Instagram - https://tmt.ph/instagram  Twitter - https://tmt.ph/twitter  DailyMotion - https://tmt.ph/dailymotion    Subscribe to our Digital Edition - https://tmt.ph/digital    Check out our Podcasts:  Spotify - https://tmt.ph/spotify  Apple Podcasts - https://tmt.ph/applepodcasts  Amazon Music - https://tmt.ph/amazonmusic  Deezer: https://tmt.ph/deezer  Tune In: https://tmt.ph/tunein   #TheManilaTimes #tmtnews #stroke #artificialintelligence

Transcript

00:00What if AI could help better identify when a patient has had a stroke and whether it

00:05can be treated effectively?

00:08Researchers from three leading hospitals hope to utilize new software to do exactly that.

00:14Experts from Imperial College London, the Technical University of Munich and Edinburgh

00:18University believe the technology will provide faster and more accurate emergency care for

00:23patients in hospitals.

00:25Consultant neurologist Dr Paul Bentley led the study.

00:29So not only can it help us understand when the stroke began and whether the treatments

00:36are suitable, but it can also help us understand what is going to happen to that person in

00:41the future.

00:42So we can understand or we can tell the patient and the relatives what's the likelihood of

00:47disability or the likelihood that they may be able to recover from the stroke.

00:52So this is all analytic information that we can extract from these scans, which is much

00:58more than we were able to do beforehand, where we were simply estimating purely on the basis

01:04of roughly how grey the area was.

01:07A stroke occurs when the blood supply to part of the brain is blocked or reduced, which

01:11prevents brain tissue from getting oxygen and nutrients.

01:15Brain cells then start to die quickly, so knowing the time the stroke started is very

01:19important.

01:20The AI would be able to extract that area.

01:22Standard treatments only work in the very early stages post-stroke and may otherwise

01:27cause secondary damage.

01:29But Dr Bentley says the software has been found to be twice as accurate as the current

01:33method, which ordinarily involves a visual assessment of a brain scan by a medical professional

01:39who looks at how dark a stroke area appears on CT scans of the brain.

01:44So our technique will mean that up to 50% more people will either be given the treatment

01:50when they weren't before or vice versa, because it can be dangerous giving those treatments

01:55to people if it is too late, because there is a danger of bleeding or deterioration if

02:01you give the treatment too late and there is no chance of there being a benefit.

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