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Prikvačeni tweet
Pleased to say our paper using neural networks to identify pacemaker/ICD/ILRs from chest X-rays has been published in
#JACCEP at http://electrophysiology.onlinejacc.org/content/early/2019/03/21/j.jacep.2019.02.003 … - you can also play with it at http://ppm.jph.am@ProfDFrancis@mshunshin@JccmoonMoon@DanielRueckert@DrAhranArnoldpic.twitter.com/8eP5cNVFPx
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James Howard proslijedio/la je Tweet
Our meta-analysis of RV pacing for HOCM was one of the most downloaded EHJ-QCCO articles in 2019.
@DrJHoward @ProfDFrancis @ZacharyWhinnett@escardio#cardiotwitter Top downloaded articles 2019:https://academic.oup.com/ehjqcco/pages/best-of …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
James Howard proslijedio/la je Tweet
Nineteen fellows from
@imperialnhs and@imperialcollege showcased research projects aimed at tackling global health problems and disease challenges as part of@wellcometrust 4i programme. Read more about their exciting work: https://bit.ly/2uFHSV0 pic.twitter.com/nS6GSCEGkh
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James Howard proslijedio/la je Tweet
Artificial intelligence and the cardiologist: what you need to know for 2020 Article by
@AdeMarvao@DrJHoward &@DrDeclanORegan explaining why AI is relevant to cardiology & demystifying some of the terminology Open access- https://heart.bmj.com/content/early/2020/01/23/heartjnl-2019-316033 …pic.twitter.com/ENCUaCA6iW
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I've written an example Kaggle kernel showing the dataset in action. A neural network trained in 10 minutes gets test set accuracies over 90% for the exact model present: https://www.kaggle.com/jamesphoward/pacemaker-identification-neural-network-example … (95.6% peak accuracy, though that's cherry picking...)
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It's distributed with the CC BY-NC-SA 4.0 license - we only ask that you cite the original publication to use it
@carpenter_jp@Doc_Tiger@CardiacJoshi@mrimypacemaker@sarahhudsonuk@DrBrunoValdigemPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
The dataset is the same 1,676 images across 45 device categories used in the index publication, with the same train/test split. At only 9MB it's easily accessible for people interested in giving deep learning a go.
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Pleased to say we've had ethical confirmation that the dataset from our pacemaker identification paper (http://electrophysiology.onlinejacc.org/content/5/5/576 ) can be made open. Is it now available on Kaggle here: https://www.kaggle.com/jamesphoward/pacemakers …
#EPeepsPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
James Howard proslijedio/la je Tweet
Delighted we have been able to publish this beginners guide to EP! Designed to help people get to grips with the array of equipment and jargon used when they walk into the EP lab for the first time! Collaboration with colleagues from
@BartsCardiac@ImperialEP and
!pic.twitter.com/YNZeCyz5vz
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Can't make it to
#AHA19 and feel left out of the#ISCHEMIA excitement? Don't worry! Crack open the drinks, get your local cath lab round and play ISCHEMIA Drinking Bingo! 2 hours to go!@drandrewsharp@drjohnm@rallamee@ProfDFrancis@SukhNijjer@CardiacJoshi@ajaykirtanepic.twitter.com/cQpwZu8x1U
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James Howard proslijedio/la je Tweet
Study by Dr.
@jerd10 and colleagues in#JACCINT demonstrates the future role of machine learning and#AI in the#CathLab, with arterial waveform analysis using neural networks allowing for rapid and accurate identification of damping. https://bit.ly/36KYxW2 pic.twitter.com/MKrvo4Gnew
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James Howard proslijedio/la je Tweet
Meet Professor Darrel Francis - our new head of section for Cardiovascular Trials & Epidemiology in
#NHLI - find out why he became a scientist & what he sees on the horizon for the section http://ow.ly/pqCf50wWDgN pic.twitter.com/6vy7Ehy1FH
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James Howard proslijedio/la je Tweet
When Skynet becomes self-aware in 2022, we should all acknowledge its creator.https://twitter.com/DrJHoward/status/1188130869183156231 …
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I hope you found this interesting. I'm happy to provide more examples if people want to give me titles. I might try to get the neural network working online like I did for pacemakers (http://ppm.jph.am/ ) - though the hardware requirements for this are much steeper!
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What's remarkable is how "scientific" the abstracts feel. Like I said, at no stage have I told it that an abstract should have a background, or that conclusions come at the end, or that meta-analyses should provide effects sizes and literature searches. It's learnt all this.
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Finally, I thought I'd try something incendiary. It turns out the prevalence of narcotic use amongst adult cardiologists is 71%! And it must be true, they used eigenvectors! Sorry for the slander, my South American colleagues.pic.twitter.com/j700yVryve
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I thought I'd try something which I have particularly little experience with: cost-effectiveness analysis. While the conclusion might be correct, I'm not sure it adequately conveys the study's findings... I do enjoy how the significance matches the p values (> vs < 0.05).pic.twitter.com/5rXlTUh8Hr
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Next I gave it a title for a meta-analysis. Obviously, the title I chose is ludicrous, but I wanted to see what it did. Amazingly, it decided to put a search strategy in the methods section. It also provides relative risks, though the choice of the modified Rankin Scale...pic.twitter.com/Vjp6fhlFW2
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First, I tried to give it a title to a made-up randomised controlled trial. It seems a _bit_ unreasonable to compare renal denervation against apixaban for hypertension. Fasciantingly, it volunteered a clinical trial registration data at the end of the abstract.pic.twitter.com/Z9794BpgdJ
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In each of the screenshots below, the top line shows the title I provided the network with, and everything below that is the network's work. It takes around 30 seconds to generate an abstract, though it took over 24 hours of training the network to get it to this level.
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I've created a monster. I've re-trained
@OpenAI's GPT2 transformer neural network on the Pubmed/MEDLINE database, so that if I give it an article's title, it spits out a abstract for me. I didn't teach it how to structure an abstract, how long it is, or any of the lingo.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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