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China Challenges Nvidia's Hold on Artificial Intelligence Chipshttps://www.wired.com/story/china-challenges-nvidias-hold-on-artificial-intelligence-chips/ …
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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: https://arxiv.org/abs/1711.07274 Blog post: https://research.googleblog.com/2017/11/understanding-medical-conversations.html …pic.twitter.com/K894By5A6R
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Rendered intrinsic networks (
#RIN) can be used in#MachineLearning to learn from unlabeled data.#ai#ComputerVisionhttps://www.technologyreview.com/the-download/609535/a-new-kind-of-computer-vision-cant-be-tricked-by-weird-lighting/ …谢谢。Twitter 会使用此信息,来优化你的时间线。 撤销 -
Interventional Radiology: The Most Effective Treatment No One’s Heard Of http://www.thurstontalk.com/2017/10/24/interventional-radiology-olympia/ … via
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Radiologists want patients to get test results fasterhttps://www.reuters.com/article/us-radiology-results-timeliness/radiologists-want-patients-to-get-test-results-faster-idUSKBN1DH2R6 …
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How Artificial Intelligence is changing the world: Expert’s opinions on the dilemmas of AIhttps://www.huffingtonpost.com/entry/how-artificial-intelligence-is-changing-the-world-experts_us_5a0e6669e4b0e30a958505ac …
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Philips, Nuance to apply AI to imaging workflows http://www.healthcareitnews.com/news/philips-nuance-apply-ai-imaging-workflows … via https://drumup.io
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The future of IR- localized delivery of CRISPR to treat disease using gene editing! http://www.sciencemag.org/news/2017/11/watch-crispr-edit-genes-real-time …
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Artificial intelligence continues to barrel aheadhttp://www.motherjones.com/kevin-drum/2017/10/artificial-intelligence-continues-to-barrel-ahead/ …
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Machine Learning: The Evolution From An Artificial Intelligence Subset To Its Own Domain https://www.forbes.com/sites/tiriasresearch/2017/09/20/machine-learning-the-evolution-from-an-artificial-intelligence-subset-to-its-own-domain/ … via https://drumup.io
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Self-Driving Car Tech Can Help Another Form of Transport: Wheelchairshttps://www.wired.com/story/self-driving-car-tech-can-help-another-form-of-transport-wheelchairs/ …
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A global collaboration to create "artificial organisms" just went livehttp://flip.it/rlI1mi
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New
@RADAIDIntl Healthmobile heads to#RSNA17 from#NorthCarolina factory (@MSVehicles), uniting#MachineLearning#radiology#charity for#medicallyunderserved. Thank you@IBM@Hologic@QuestDX#msvgomobile Visit us at North Hall 8557 in#Chicagopic.twitter.com/7bohTsQuYX谢谢。Twitter 会使用此信息,来优化你的时间线。 撤销 -
NON invasive treatment for venous malformations with ultrasound (HIFU)...? Check it out now in JVIR!
@socpedsir https://www.sciencedirect.com/science/article/pii/S1051044317305559 …谢谢。Twitter 会使用此信息,来优化你的时间线。 撤销 -
The evolution of machine learninghttps://techcrunch.com/2017/08/08/the-evolution-of-machine-learning/ …
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NUS engineers develop new flexible, ultra-thin microfiber sensor for real-time monitoring of vital signs https://www.news-medical.net/news/20171116/NUS-engineers-develop-new-flexible-ultra-thin-microfiber-sensor-for-real-time-monitoring-of-vital-signs.aspx … via https://drumup.io
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The positivity rate for pulmonary embolism on PE CTAs is 10% in the US but 25 to 30% in the UK and Australia.
#radres#aur_tweet#acer_aur#uchicagoradshttps://twitter.com/RichDuszak/status/931402524627800064 …谢谢。Twitter 会使用此信息,来优化你的时间线。 撤销 -
Deep-learning classifier understands free-text radiology reportshttp://cms.trimedmedia.com/topics/imaging-informatics/deep-learning-classifier-understands-free-text-radiology-reports …
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Great teamwork! MUCH more will be coming out soon from this awesome team.... stay tuned!!
@pranavrajpurkar@curtlanglotz@StanfordRadRes@StanfordMed@KatieShp19@Stanford@jeremy_irvin16@AndrewYNghttps://twitter.com/Stanford/status/930924231499579393 …谢谢。Twitter 会使用此信息,来优化你的时间线。 撤销 -
More deep learning work from collaboration with our lab http://AIMI.stanford.edu and
@AndrewYNg Machine Learning Lab https://stanfordmlgroup.github.io/@curtlanglotzhttps://twitter.com/Stanford/status/930924231499579393 …谢谢。Twitter 会使用此信息,来优化你的时间线。 撤销
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