@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #ML #MachineLearning https://t.co/y3sZ38NIZ7
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/zkCddWgOZR
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #AI #MachineLearning https://t.co/SlT3r4lHqe
@Radiology_AI 1 year ago
Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer Networks https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformer #DeepLearning #MachineLearning https://t.co/vkN17E7Iso
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning https://t.co/924nXgpWwb
@Radiology_AI 1 year ago
Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer Networks https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #AI #MachineLearning https://t.co/ATFyMZCVZE
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformers #ML #MachineLearning https://t.co/Yjh54EzRFg
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/cfC4OrFxC0
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning https://t.co/DVl9XtgTBI
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #ML #MachineLearning https://t.co/d4DFnYAKqL
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #AI #ML #MachineLearning https://t.co/ij1qLOqOrw
@Radiology_AI 1 year ago
Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer Networks https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformers #Transformer #MachineLearning https://t.co/xKfodRdUM4
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformers #AI #MachineLearning https://t.co/68vIIKCDag
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #ML #MachineLearning https://t.co/xAASWKqFag
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning #AMIA2022 https://t.co/LvndChK6Cw
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/t0Vza8lPaU
@StanfordMed 2 years ago
"The white body and the male body have long been the norm in #medicine, guiding drug discovery, treatments and standards of care," said Londa Schiebinger, PhD. "It's important that we do not let #AI devices fall into that historical pattern." https://scopeblog.stanford.edu/2021/06/08/to-benefit-diverse-groups-ai-must-address-bias-researchers-say/ #DataScience
@WiDS_Conference 3 years ago
Manisha Desai of @StanfordMed sits at the intersection of #medicine and #datascience. On the #WiDSPodcast she discusses the #COVID19 clinical trials and preventing disease progression: https://bit.ly/manisha-desai @AnitaB_org @GirlsWhoCode @DataWomen @WiMLworkshop @AmstatNews @WITI https://t.co/QeLplvX0nR
@HSLavoie 4 years ago
47% of physicians and 73% of medical students said that they are currently seeking out additional training to prepare for data and #digitalhealth innovations. Top areas were adv. statistics, #datascience + population health management. https://stan.md/2NSQSNv @StanfordMed
@TheFHFoundation 4 years ago
A8 #FINDFH is the FH Foundation’s #precisionmedicine, combining #AI and #bigdata to find individual health records that look like FH and work with healthcare systems to diagnose and treat. @OHSU @PennMedicine @StanfordMed @npj Digital Medicine: https://thefhfoundation.org/findfh-data-published-in-npj #KnowFH https://t.co/Xbsju94trI
@StanfordMed 4 years ago
Here's the speaker lineup and livestream link for this year's #BigData in Precision Health event, which is taking place now at Stanford University School of Medicine. https://stan.md/2HAFBPj https://stan.md/2Hxqrdr #BigDataMed #PrecisionHealth https://t.co/kg4AXbSIUe
@StanfordMed 5 years ago
A robot that helps you stay healthy? #BigDataMed speaker Maja Matarić of @USCViterbi is making socially assistive robotics a reality. Register for Stanford Medicine's #BigData in Precision Health event to learn more. https://stan.md/2GcZKu5
@curtlanglotz 5 years ago
For those interested in applications of AI/machine learning (ML) to precision medicine, drug development and regulatory science, check out the new @StanfordMed @UCSF @fdacder #machinelearning fellowship. cc @Radiology_AI #RSNA18 https://www.zintellect.com/Opportunity/Details/FDA-CDER-2019-0355
@StanfordMed 5 years ago
A look back at day one of Stanford Medicine's #BigData in #PrecisionHealth conference. https://stan.md/2s6omgz #BigDataMed
@StanfordMed 5 years ago
Dean Lloyd Minor: There’s never been a more exciting time in medicine than today and #BigData is going to play an instrumental part in that. #BigDataMed
@SimplyVitalHQ 5 years ago
We've been looking forward to speaking at the @StanfordMed #BigData in Precision Medicine conference for months, and the day is finally here! Make sure to tune into our #Facebook page for a LIVE cast of @kkuzmesk talk on #blockchain and #healthcare later today! https://t.co/306EzjIWdR
@StanfordMed 5 years ago
"In health care, and specifically in genomics, #BigData is key to getting insights into the cause of many medical conditions," says Dekel Gelbman, CEO of FDNA and speaker at Stanford Medicine's upcoming #BigDataMed event. https://stan.md/2IqF3Jt
@StanfordMed 6 years ago
Stanford Medicine’s #BigData in #PrecisionHealth Conference set for May 23-24. https://stan.md/2qQC5aF #BigDataMed https://t.co/9OGjKPzFGQ
@StanfordMed 6 years ago
It's back! Stanford Medicine's #BigData conference is set for May 23-24: http://stan.md/2H9lQfc #BigDataMed https://t.co/mPDeItOXGg
@StanfordMed 6 years ago
Registration is now open for Stanford Medicine's #BigData in #PrecisionHealth Conference: http://stan.md/2FYy3C7 #BigDataMed https://t.co/zzdoYGPwk8
@StanfordMed 6 years ago
At Stanford Medicine event @EricTopol discusses we need to “go deep” with #BigData: http://stan.md/2qlpGcp… https://twitter.com/i/web/status/867940631175352320
@StanfordMed 6 years ago
“Predict, prevent and cure precisely,” Stanford Medicine’s Dean Lloyd Minor urges at #BigData event:… https://twitter.com/i/web/status/867504008176566272
@StanfordMed 6 years ago
Stanford Medicine's #BigData in Biomedicine Conference kicked off today! Here's what you need to know:… https://twitter.com/i/web/status/867481871705407488
@StanfordMed 6 years ago
Stanford Medicine's #BigData in Biomedicine Conference begins today! Here's what you need to know:… https://twitter.com/i/web/status/867381450286522368
@f2harrell 6 years ago
Too often big data = big bs, precision medicine = precision capitalism #BigData @NancyatHeart @StanfordMed… https://twitter.com/i/web/status/867361712869167104
@StanfordMed 6 years ago
A few seats remain: Register to attend Stanford Medicine's #BigData in Biomedicine conference May 24-25:… https://twitter.com/i/web/status/865005042876661760
@StanfordMed 6 years ago
Learn, exchange ideas and get inspired at Stanford Medicine's #BigData in Biomedicine Conference:… https://twitter.com/i/web/status/864848246262378497
@StanfordMed 6 years ago
Dean Lloyd Minor discusses how #BigData is shaping the future of health care and medicine: http://stan.md/2q2hz4E #PrecisionHealth
@StanfordMed 7 years ago
It's back! Stanford Medicine's #BigData in Biomedicine Conference set for May 24-25: http://stan.md/2pt8www… https://twitter.com/i/web/status/856609454191759360
@StanfordMed 7 years ago
Register to attend Stanford Medicine's #BigData in Biomedicine conference May 24-25: http://stan.md/2pi73Fh… https://twitter.com/i/web/status/851181710599483393
@StanfordMed 7 years ago
One day left! Register for early bird pricing for Stanford Medicine's #BigData in Biomedicine:… https://twitter.com/i/web/status/845121177810960385
@StanfordMed 7 years ago
Register for Stanford Medicine's #BigData in Biomedicine: Transforming lives through #PrecisionHealth: http://stan.md/2mKpxjv #bigdatamed
@StanfordMed 7 years ago
Registration is now open for Stanford Medicine's #BigData in Biomedicine conference on May 24-25:… https://twitter.com/i/web/status/841065688836014084
@StanfordMed 7 years ago
Stanford Medicine's #BigData in Biomedicine conference returns! Registration now open: http://stan.md/2n1I6Rn… https://twitter.com/i/web/status/839889160601206784
@StanfordHealth 7 years ago
.@StanfordMed Dean Lloyd Minor explains how #PrecisionHealth & #BigData are already transforming #medicine http://bit.ly/29WDvLd
@StanfordMed 7 years ago
Dataset of roughly 250 million patients reveals unexpected insights into global medical treatments: http://stan.md/1t46NeL #bigdata
@StanfordMed 7 years ago
Stanford Medicine's #BigData in Biomedicine Conference is back! Here's how to take part from afar: http://stan.md/1Tz7A3i #bigdatamed
@StanfordMed 7 years ago
#Bigdata, big deal: @euanashley presents at Stanford Medicine's #HealthMatters 2014: http://stan.md/1pUzrgn #TBT