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Bayesian Health
187 posts
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Bayesian Health
@bayesianhealth
co-pilot for docs + nurses; empowering clinicians with real-time care signals to prevent adverse events. Join us!
New York, NY
bayesianhealth.com
Joined October 2015
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  • Pinned
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    Bayesian Health
    @bayesianhealth
    Jul 21, 2022
    The opportunity for AI to improve health outcomes is massive. But what’s been missing is rigorous peer-reviewed studies showing AI used in practice. Today we published 3 studies in Nature Medicine that show for the first time ever how AI saves lives.
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    Nature Medicine Research Summary: Sepsis Mortality Reduction with Bayesian Health - Draftr - Design...
    From bayesianhealth.com
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    Bayesian Health
    @bayesianhealth
    Jul 13, 2023
    🎉 🎉 🎉 We are thrilled to be selected as a World Economic Forum Technology Technology Pioneer! This recognition brings together 100 startups from around the world that are "at the forefront of innovation and disruption needed to help us solve the world’s most pressing issues.”
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    Bayesian Health
    @bayesianhealth
    Jan 15, 2023
    So thrilled to have won and been selected as top 3 emerging startups among 1250 incredible startups in digital health! We are so grateful!
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    Sally Ann Frank
    @sallyafrank
    Oct 27, 2022
    Congratulations to @msft4startups, @bayesianhealth for being a finalist in the @ucsfhealthhub awards in the #RisingStar category for #digitalhealth Wishing you a big win at the #hlth2022 awards event! ucsfhealthhub.com/awards/2022/20…
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    Bayesian Health
    @bayesianhealth
    Dec 22, 2022
    AI in healthcare feels like the ‘wild west’ and health systems are forming their own guardrails. “You can have the best technology in the world, but if [care teams] don’t trust it, they won’t use it, and you can’t see any benefit” - Dr. Saria More here: bit.ly/3PIAjlW
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    Bayesian Health
    @bayesianhealth
    Oct 14, 2022
    Read about our work at Hopkins!
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    Johns Hopkins Medicine
    @HopkinsMedicine
    Oct 13, 2022
    Doctors and researchers developed a system to show clinicians when someone is at risk for sepsis and suggests treatment protocols. bit.ly/3RZ9YQe

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