Revolutionary AI Software Doubles Stroke Diagnosis Accuracy 🧠
Discover how the latest AI technology enhances stroke detection by accurately analyzing brain scans, leading to faster and more reliable diagnoses.
About this video
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
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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
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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
Video Information
Views
309
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Duration
2:40
Video length
Published
Dec 19, 2024
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