Medical Technology

Current search: risk patients unset

@wired.com 11 months ago

The Trade-Offs for Privacy in a Post-Dobbs Era

@wired.com 1 year ago

Flaw in the VA Medical Records Platform May Put Patients at Risk

@wired.com 2 years ago

The War Puts Ukraine's Clinical Trials—and Patients—in Jeopardy

@slashgear.com 2 years ago

Pfizer’s “overwhelming” COVID-19 pill results fuel home treatment hopes

@rfunctionaday 2 years ago

Cox regression model is widely used in medical research to assess the effect of several risk factors on survival time of patients. The {ggcoxdiagnostics} function from {survminer} can help visually assess goodness of model fit 🧐 https://rpkgs.datanovia.com/survminer/reference/ggcoxdiagnostics.html #rstats #DataScience https://t.co/3z6D7FQgL9

@WIRED 2 years ago

There’s just one problem: no one really knows how the algorithm reaches those scores or what it’s using to measure risk factor. And if miscalculated, it could keep patients from getting the medicine they desperately need. : Sam Cannon 6/10 https://t.co/llyBVbMrbd

@idownloadblog.com 2 years ago

After investigation, FDA says patient risk is low when it comes to MagSafe and iPhone pacemaker interference

@slashgear.com 3 years ago

Spironolactone recalled after mix-up puts wrong doses in dozens of bottles

@thenextweb.com 3 years ago

Blood pressure medicines lower risk of COVID-19 death, study says

@MonicaTincopa 3 years ago

Application of #MachineLearning models continue to show real promise in clinical medicine. #DeepLearning recurrent neural network models outperformed traditional linear regression models to identify patients with #HCV at high risk of developing #HCC. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2770062?guestAccessKey=62adc2c2-bf09-495e-a501-1a20d52bf098&utm_source=jps&utm_medium=email&utm_campaign=author_alert-jamanetwork&utm_content=author-author_engagement&utm_term=1m https://t.co/vWqofKqqBi

@mashable.com 3 years ago

These ingenious portholes can reduce the risk of COVID-19 transmissions in hospitals

@digitaltrends.com 3 years ago

Hydroxychloroquine linked to higher risk of death in coronavirus patients

@bgr.com 3 years ago

A drug thought to worsen coronavirus infections might actually help people recover

@bgr.com 4 years ago

Expert warns obesity is a major risk factor for coronavirus patients

@marcusborba 4 years ago

#ArtificialIntelligence used to predict which #coronavirus patients are at greater risk of ARDS https://bit.ly/2JFUUGj @euronews #Healthcare #DataScience #DeepLearning #Healthtech #Medicine #BigData #Analytics #Virus #MachineLearning #DigitalTransformation #COVIDー19 #AI https://t.co/NBbrlGKMKt

@thenextweb.com 4 years ago

Dubious claims that AI outperforms doctors pose risk to ‘millions of patients,’ study finds

@davorjord 4 years ago

#MachineLearning can estimate the likelihood of cardiovascular death, giving doctors risk tiers to help effectively treat patients Via @spelldotrun Read more about Spell: http://datahacker.rs/spell-ai/ #AI #ML #DL #DeepLearning #spellrun #medicine #news #healtcare #healttech #video https://t.co/rQPkX9ZNMC

@BojanaVukov 4 years ago

@davorjord 4 years ago

@zdnet.com 4 years ago

Cybersecurity warning: Almost half of connected medical devices are vulnerable to hackers exploiting BlueKeep

@UMCGlobalSafety 4 years ago

How do we reduce the risk to patients of mixing medicines? In this @TEDMED talk from 2016, @Rbaltman gives an interesting account of his experience using #BigData for signal detection. #polypharmacy #pharmacovigilance http://ow.ly/R9ie50xyyJY

@UMCGlobalSafety 4 years ago

How do we reduce the risk to patients of mixing medicines? In this @TEDMED talk from 2016, @Rbaltman gives an interesting account of his experience using #BigData for signal detection: http://ow.ly/R9ie50xyyJY #polypharmacy #pharmacovigilance https://t.co/wfhMuIJLpr

@engadget.com 4 years ago

Healthcare risk algorithm had 'significant racial bias'

@AriErcole 4 years ago

Looking forward to it! Looking at #MachineLearning to better understand adverse events in high risk patients & working with the other #NHSDigitalFellows to promote and develop digital medicine in the NHS. @CUH_NHS @EricTopol @NHS_HealthEdEng @Cambridge_Uni @magdalenealumni https://twitter.com/NHS_HealthEdEng/status/1173870066141736961