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News

  • January 17, 2024
    UB Startup Receives $2.9 Million to Develop Blood Test for Brain Aneurysms
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  • November 16, 2023
    60-Year-Old Brain Aneurysm Survivor Runs NYC Marathon
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  • November 13, 2023
    Peloton Star Partnering with BAF to Promote Brain Aneurysm Awareness, Research
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  • September 21, 2023
    Brain Aneurysm Foundation Announces 2023 Research Grants
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  • September 08, 2023
    Mom of 4 Who Died of Brain Aneurysm at Son’s Football Game Donates 4 Organs: ‘She Saved Lives’
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  • September 05, 2023
    Brain Aneurysm Foundation Launches New Campaign to Increase Disease Awareness and Accelerate Research
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  • July 05, 2023
    German Fitness Influencer Jo Lindner Dies of Aneurysm at 30
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  • June 03, 2023
    Influencer Jackie Miller James in Medically Induced Coma After Aneurysm Ruptures a Week from Due Date
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  • May 19, 2023
    Father of ‘Jeopardy!’ star dies of brain aneurysm: Here’s what you need to know
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  • May 05, 2023
    UC Research Team Receives Brain Aneurysm Foundation Grant
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In My Area

Support groups
  • AdventHealth Brain Aneurysm Support Group

    Winter Park, FL

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  • Baltimore Brain Aneurysm Foundation Support Group

    Lutherville-Timonium, MD

    Learn more
  • Bay Area Aneurysm and Vascular Malformation Support Group

    San Francisco, CA

    Learn more
  • June 10, 2019
  • BAF
  • Diagnosis
  • Technology

Stanford’s new AI can help doctors spot brain aneurysms

Stanford researchers have developed a new AI tool that can help detect aneurysms, a condition that causes blood vessels in the brain to bulge, potentially causing stroke, brain damage or death.

The tool, detailed in a paper published in JAMA Network Open, makes use of a deep learning model called HeadXNet to identify areas in the brain that are likely to have an aneurysm. The tool is meant to help clinicians augment their capabilities to detect aneurysm with greater accuracy. Read the full article here.



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