Amine Korchi MD

@AmineKorchiMD

Radiologist, Neuroradiologist & Former PI Scientist l HealthTech expert l Venture Partner at Fusion & Polytech Ventures l 🏄‍♂️ 🤙

Geneva, CH & Montreal, CA
Vrijeme pridruživanja: kolovoz 2013.

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  1. Prikvačeni tweet
    2. srp 2019.

    I just published AI in Radiology: the Quest for the Killer App

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  2. prije 1 sat
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    We’re building a suite of tools to help clinicians take better care of patients, leveraging our expertise in organizing information. Head of shares how these tools can help clinicians focus on their patients.

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  4. proslijedio/la je Tweet
    prije 21 sat

    Today is and we would like to share this article on the next decade of cancer research. No matter how the future is going to look like, Lunaphore's microfluidic technology will contribute to untangle the complexity of cancer research.

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  5. proslijedio/la je Tweet
    prije 17 sati
    Odgovor korisnicima

    Great stuff, Chris! Adding environmental sensor data to the mix seems intuitive and powerful in terms of digital patient companion design.

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    algorithm can differentiate between Alzheimer's disease and iNPH on scans at a comparable accuracy to

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  7. proslijedio/la je Tweet
    prije 20 sati

    “We need a third party to provide trusted certification that machine learning and AI algorithms are free from bias.” Data Transparency and Curation Vital to Success of Healthcare AI

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    prije 19 sati

    Congrats - Great to see smart teams fueled up with fresh capital to deploy in bio/tech. We might disagree on occasion but we share a passion for backing innovative new medicines. Looking fwd to co-investing!

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    In the society's first ever position statement on the role of percutaneous ablation in the treatment of renal cell carcinoma, conclude that, for some patients, kidney cancer can be effectively managed without surgery

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  10. proslijedio/la je Tweet
    prije 20 sati

    The promise of digital health. Help patients individually, and collect new types of data that improve our understanding of respiratory disease and triggers more broadly. 👍

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    prije 21 sat
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  13. proslijedio/la je Tweet
    27. sij

    This single cell analysis identify distinct patients subgroups of opening the way for better patient management. These novel subgroups of breast cancer that are associated with distinct clinical outcomes.

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  14. proslijedio/la je Tweet
    27. sij
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    Do not agree... studies have shown that up to 90% of unenhanced head CT in an emergency setting are normal i.e negative. If an algorithm classify normality with a perfect predictive value, then I think there is a solid business (and health economic) case here

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  15. proslijedio/la je Tweet
    2. srp 2019.

    I just published AI in Radiology: the Quest for the Killer App

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  16. proslijedio/la je Tweet
    26. sij

    Did you know that up to 70% of head CT scans performed in an emergency setting are NORMAL ? An algorithm able to classify normal exams would truly transform this clinical pathway, accelerate patient discharge and care, and reduce costs significantly.

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  17. proslijedio/la je Tweet
    2. velj

    Nanox has built a novel “Electron Gun” based on a field emission array of a 100 million molybdenum Nano-cones enabling a controlled and steady generation of electrons using low voltage to achieve the same effect as the legacy X-ray source.

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  18. proslijedio/la je Tweet
    3. velj

    Interesting paper from the team of luminary Mayank Goyal in Calgary describing a model for Detecting Early Infarction in Acute with NonContrast CT. "The algorithm showed (only) a good agreement with the reference standard" ...1/2)

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  19. proslijedio/la je Tweet
    4. velj
    Odgovor korisniku/ci

    I have to share with you a secret 😂 when being a first year med student, in the neuroanatomy class, 150 students in an amphitheater. The professor on stage shows a small yellowish ovoid organ model and asks what it is ? I was bold enough to answer: A Prostate Professsor !

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  20. Large teams develop and small teams disrupt science and technology.

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  21. From the analysis of more than 65 million papers, patents & software from 1954 to 2014, it appears that smaller teams have tended to disrupt science and technology with new ideas & opportunities, whereas larger teams have tended to develop existing ones

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