Medical Technology

Current search: developed machinelearning

@ResearchGermany 1 year ago

Scientists at @TU_Muenchen have now developed a new method of using molecular data to extract subtypes of illnesses 🩺 Read more about their work here http://ow.ly/WtrQ50JkC4X #MachineLearning #Biomedicine #MedicalTech

@_M_Dey 2 years ago

Newly developed AI uses combination of ECG and X-ray results to diagnose arrhythmic disorders | #AI #HealthCare #Medicine #Cardiology #MachineLearning #DeepLearning #ArtificialIntelligence #DataScience #100DaysOfCode #Python #BigData https://bit.ly/3Ao1fPL

@Paula_Piccard 2 years ago

Implantable AI system developed for early detection and treatment of illnesses https://bit.ly/2XFfWiC @medical_xpress #MachineLearning #5G #DataScience #100DaysOfCode #Python #Cybersecurity #BigData #IoT #DeepLearning #ArtificialIntelligence #robots #NLP #Industry40 #tech https://t.co/Pz2ysoFspL

@marcusborba 2 years ago

Implantable AI system developed for early detection and treatment of illnesses https://bit.ly/3D8fzO4 @medical_xpress #Healthcare #ArtificialIntelligence #BigData #Analytics #DeepLearning #100DaysofCode #womenwhocode #iot #Robotics #DataScience #MachineLearning #AI #Medicine https://t.co/mSSthmW14R

@Michael_D_Moor 2 years ago

Preprint alert! Interested in #MachineLearning in #medicine and #sepsis? We developed and validated a #DeepLearning model for predicting sepsis across 5 ICU databases from 3 countries featuring 156k ICU stays and 783 patient years worth of monitoring data. A 🧵. 1/n https://t.co/4RL3UaXYIY

@maxkelsen 2 years ago

Our Research Lab has developed a #machinelearning model that can rapidly diagnose glaucoma based off medical images, with an error rate less than half that of human doctors. #AI #glaucoma #MedTech #DigitalHealth https://www.brisbanetimes.com.au/national/queensland/ai-trained-to-spot-disease-that-sends-people-blind-20210706-p587ca.html

@gp_pulipaka 3 years ago

How Zebra Medical Vision Developed Clinical AI Solutions. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Programming #Coding #100DaysofCode https://bit.ly/3rLwU8m https://t.co/EUfePSKOHw

@AiCEAfrica 3 years ago

Despite all the advances in medicine, chest X-Rays are still the most common imaging for diagnostics. We have developed AI technologies to faster analyze XRays and flag pathologies quickly and accurately. ~ Kabir Mahajan speaking #AIinAfrica #AICERoundtable #MachineLearning https://t.co/8zvGdJ2ECH

@ReuvenSoraya 3 years ago

Listen to Tom Mahler from Cyber@BGU. who has developed a technique using #artificialintelligence that analyzes and protect medical devices. #machinelearning #cybersecurity #medicaldevices https://thecyberwire.com/podcasts/research-saturday/157/transcript

@nigewillson 3 years ago

Harvard researchers developed an AI to determine how medical treatments affect life spans [love, love this picture (no mice were harmed in taking it)] https://bit.ly/35FO688 #ai #ArtificialIntelligence #machinelearning #DeepLearning #healthcareworkers #medicine https://t.co/BaoOLAZp8A

@PittSTREAM 3 years ago

Study in @PLOSONE by @jennyciganic, PittSTREAM's @walidgellad, et al developed and validated a #machinelearning algorithm to improve prediction of incident opioid use disorder diagnosis among Medicare beneficiaries with ≥1 opioid prescriptions. #opioids https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235981 https://t.co/LexHO7Nt1Z

@RoboticsTech1 3 years ago

A global team of scientists have developed an #AI system to detect 17 diseases from exhaled breath with 86% accuracy by @spell_ml #artificialintelligence #machinelearning #datascience #bigdata #analytics #deeplearning #ml #medicine #healthtech #healthcare https://t.co/ANXYpp0Br7 https://t.co/03EJ4FHKx3

@PLOSCompBiol 3 years ago

In their new article Cabeli, Verny, Sella & colleagues developed a #MachineLearning approach to analyze medical records & help clinicians visualise the interrelations between clinical examinations & the variety of syndromes implicated in complex diseases: http://plos.io/2XycrGX https://t.co/UasrQpeg1R

@marcusborba 4 years ago

Google's Deepmind has developed a new #AI system to aid doctors in detecting breast cancer early, with demonstrated ability to generalize by @spelldotrun #ArtificialIntelligence #DataScience #BigData #MachineLearning #Medicine #DeepLearning #Healthcare https://t.co/k25UQ0fqPl

@marcusborba 4 years ago

@nasmoutiphd 4 years ago

Google developed Coral: a portable neural network accelerator. It will make it possible to use models locally without the need for cloud. Sending data to the cloud is a security risk for sensitive data (eg medical records). #MachineLearning #DataScience https://www.theverge.com/platform/amp/2020/1/14/21065141/google-coral-ai-edge-computing-products-applications-cloud?fbclid=IwAR1xGpoS5u-6qqSKDTBCztUlz5Os8KbFVg3aVTdHEXM1nQmEzvkvubv5BmU

@PittCP3 4 years ago

2019 was a big year for #AI in health care. Our team developed #MachineLearning algorithms to predict risk of #opioid overdose among #medicare beneficiaries. Look for more from this project in 2020! @jennyciganic @AJ_Gordon @walidgellad @JAMANetworkOpen https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2728625

@IEEEorg 4 years ago

Two college students in #India have developed an #ArtificialIntelligence #software that uses #MachineLearning algorithms to automate the medical diagnosis process. What are your thoughts on this? http://bit.ly/2qeWdWZ

@medical_view 4 years ago

Scientists from @IRBBarcelona, @CRGenomica & @Radboud_Uni have developed an #machinelearning algorithm that can predict which cancer patients are more likely to benefit from #immunotherapy. @FranSupek @BenLehner #AIinHealth https://medicalview.org/ai-system-predicts-which-cancer-patients-benefit-from-immunotherapy/ https://t.co/6p7By58mo4

@SwissCognitive 4 years ago

#MachineLearning #HealthCare @penn_state developed a machine learning tool that analyzes data on drug-drug interactions and may be able to warn providers about potential negative side effects of medication combinations. Read more: http://ow.ly/5D6n30pJxHt cc.: @RoblemVR

@mvollmer1 4 years ago

RT @marcusborba A global team of scientists have developed an #AI system to detect 17 diseases from exhaled breath with 86% accuracy by @spelldotrun #science #artificialintelligence #machinelearning #datascience #bigdata #deeplearning #ml #medicine #health #dl #healthcare https://twitter.com/marcusborba/status/1175581882576228352

@SwissCognitive 5 years ago

Researchers have developed software based on #MachineLearning that can independently interpret EEG signals from a premature infant and generate an estimate of the brain's functional maturity. #ArtificialIntelligence #MedicalAI http://ow.ly/EJTu30ocoOT

@VanHipp 5 years ago

Breakthrough algorithm developed by @FloridaAtlantic researchers can detect Medicare & Medicaid fraud & save the Government billions! Let’s implement now & look for other uses. #ArtificialIntelligence #MachineLearning #FAU @CMSGov @realDonaldTrump https://builtin.com/artificial-intelligence/ai-may-help-detect-medicare-fraud https://t.co/nkjkozweag

@DSMeu 5 years ago

New medicines could be developed faster thanks to high performance computing & #machinelearning. Read this story about an EU-supported project http://bit.ly/2Or4zRH #EuroHPC #HPC #HealthTech https://t.co/gf62ur9HCL

@engadget.com 5 years ago

Speedy AI image analysis could help doctors during surgery