Matthew Lungren MD

@mattlungrenMD

Interventional Radiologist, Stanford clinician scientist, research in applied machine learning and translational therapeutics

Palo Alto, CA
Joined March 2011
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  1. 50 minutes ago

    China Challenges Nvidia's Hold on Artificial Intelligence Chips

    1 like
  2. Retweeted
    22 hours ago

    Google takes on automatic medical transcription and observes one of the big challenges is how messy healthcare data can be! Welcome to the club! Paper: Blog post:

    3 replies 22 retweets 64 likes
  3. Retweeted
    8 hours ago

    Rendered intrinsic networks () can be used in to learn from unlabeled data.

    2 retweets 2 likes
  4. Retweeted
    21 hours ago

    Interventional Radiology: The Most Effective Treatment No One’s Heard Of via

    13 retweets 16 likes
  5. 18 hours ago

    Radiologists want patients to get test results faster

    1 like
  6. 18 hours ago

    How Artificial Intelligence is changing the world: Expert’s opinions on the dilemmas of AI

    1 retweet 1 like
  7. 23 hours ago

    Philips, Nuance to apply AI to imaging workflows via

    3 retweets 1 like
  8. Retweeted
    Nov 20

    The future of IR- localized delivery of CRISPR to treat disease using gene editing!

    14 retweets 14 likes
  9. Nov 20

    Artificial intelligence continues to barrel ahead

    3 likes
  10. Nov 20

    Machine Learning: The Evolution From An Artificial Intelligence Subset To Its Own Domain via

    1 retweet
  11. Nov 20

    Self-Driving Car Tech Can Help Another Form of Transport: Wheelchairs

    2 likes
  12. Nov 18

    A global collaboration to create "artificial organisms" just went live

  13. Retweeted
    Nov 17

    New Healthmobile heads to from factory (), uniting for . Thank you Visit us at North Hall 8557 in

    and
    6 retweets 14 likes
  14. Nov 17

    NON invasive treatment for venous malformations with ultrasound (HIFU)...? Check it out now in JVIR!

    1 reply 5 retweets 11 likes
  15. Nov 17

    The evolution of machine learning

    1 retweet
  16. Nov 17

    NUS engineers develop new flexible, ultra-thin microfiber sensor for real-time monitoring of vital signs via

    1 like
  17. Retweeted
    Nov 17

    The positivity rate for pulmonary embolism on PE CTAs is 10% in the US but 25 to 30% in the UK and Australia.

    "The most cited reason for overtreatment was fear of malpractice." 
    1 reply 1 retweet 6 likes
  18. Nov 15

    Deep-learning classifier understands free-text radiology reports

    1 like
  19. Nov 15

    Great teamwork! MUCH more will be coming out soon from this awesome team.... stay tuned!!

    The deep learning model could help radiologists overcome limitations of human perception and bias, and reduce errors in diagnosing pathologies, says .
    1 reply 4 retweets 10 likes
  20. Nov 15

    More deep learning work from collaboration with our lab and Machine Learning Lab

    The deep learning model could help radiologists overcome limitations of human perception and bias, and reduce errors in diagnosing pathologies, says .
    1 reply 2 retweets 4 likes

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