Medical Technology

@LiverpoolCCS 10 months ago

Cardiovascular disease (CVD) outcomes and associated risk factors in a medicare population without prior CVD history: an analysis using statistical and #MachineLearning algorithms @LHCHFT @LJMU_Health @LivHPartners @LivuniILCaMS https://link.springer.com/article/10.1007/s11739-023-03297-6 https://t.co/EF1kSYN78v

@andresvilarino 1 year ago

#ArtificialIntelligence & #ProstateCancer: Risk Stratification After Primary Therapy, ADT Treatment Intensification, and Evaluation of Metastatic Disease #AI #ML #MachineLearning #DeepLearning #DL #Algorithm #Data #HealthCare #HealthTech #MedicalTech https://buff.ly/3mA90jE https://t.co/7gSj15LCt0

@GSCollins 1 year ago

Some recent studies we've carried out looking at the medical literature that have applied #MachineLearning for prediction Conduct -> https://tinyurl.com/44444rx9 Reporting -> https://tinyurl.com/bdcs9rma Risk of bias -> https://tinyurl.com/ynbxh2pz #statstwitter #medtwitter #openscience https://t.co/XnYkAuIp5f

@medical_xpress 1 year ago

#Suicide vulnerability index, #machinelearning model help predict counties' risk @penn_state https://doi.org/gqd8f8 https://medicalxpress.com/news/2022-06-suicide-vulnerability-index-machine-counties.html

@marcusborba 2 years ago

#ArtificialIntelligence Detects Risk of Genetic Syndromes in Children https://bit.ly/3kMTUT6 @tweetycami @PsychToday #Genetics #Healthcare #MachineLearning #BigData #Analytics #AI #100DaysofCode #serverless #iot #womenwhocode #Algorithms #DeepLearning #DataScience #Medicine https://t.co/3gzTTRxOp0

@automeme 2 years ago

Artificial intelligence algorithm to detect suicide risk takes next steps toward clinic with funding from NIH - Medical University of South Carolina Read more here: https://ift.tt/3zEkKm2 #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigDa

@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

@PittCP3 3 years ago

New in @PLOSONE: CP3's @walidgellad and former CP3 postdoc @jennyciganic led development of a #machinelearning algorithm to predict risk of developing #opioid use disorder in #Medicare. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235981 https://t.co/B2Wbq8GNld

@marcusborba 3 years ago

Artificial Intelligence Can Categorize Cancer Risk of Lung Nodules https://bit.ly/2KEcIlX @itnEditor #ArtificialIntelligence #Healthcare #DeepLearning #Medicine #BigData #Analytics #MachineLearning #Cancer #DataScience #HealthTech #AI https://t.co/KPH8KAq37x

@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

@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

@FOAMecmo 4 years ago

Medical errors common before cardiac arrest on wards mostly diagnosis delay (Hodgetts 2002) some #IHCA get #ICU late increasing morbidity/mortality may #AI #DataScience identify high-risk pts? check @CritCareMed papers #FOAMcc Churpek M #ESICMdata20 @ESICM #MachineLearning https://t.co/k9OmyqKJ0t

@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

@bigmlcom 4 years ago

#MachineLearning enabling medical professionals to detect risk of new dementia diagnosis up to 8 years in advance. https://ehrintelligence.com/news/mass-general-uses-machine-learning-in-ehr-to-detect-alzheimers https://t.co/6vpqtUHYQz

@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

@SpirosMargaris 4 years ago

Paper Examines How To Reduce Risk Of Using #AI in #Medicine https://buff.ly/2LAQhyD #fintech #insurtech #healthcare @danupnelson @UniteAi #Artificialintelligence #MachineLearning #DeepLearning https://t.co/gEJOY4qjV4

@marcusborba 4 years ago

Using machine learning to estimate risk of cardiovascular death. by @spelldotrun #machinelearning #ai #artificialintelligence #health #healthcare #bigdata #analytics #datascience #deeplearning #tech #medicine #innovation https://t.co/jQGBKxYS1Z

@UFCoDES 4 years ago

Presentation by @jennyciganic at #AHSR2019 titled “Using #MachineLearning to Predict Risk of Incident #OpioidUseDisorder among Fee-for- Service #Medicare Beneficiaries" @UFPharmacy @UFCoDES https://t.co/m8WMmBrIAb

@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

@SwissCognitive 4 years ago

“#MachineLearning is particularly good at identifying patterns, which is deeply relevant to assessing patient risk. Risk scores are useful for communicating patient state, which is valuable in making efficient care decisions.” http://ow.ly/bAfz30px9lg #Healthcare #Medicine #AI

@IainLJBrown 4 years ago

Novel artificial intelligence method predicts future risk of breast cancer - Medical Xpress Read more here: http://bit.ly/2JnUDJk #ArtificialIntelligence #AI #DataScience #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT

@BristowColin 5 years ago

Cancer Risk Assessment in Modern Radiotherapy Workflow With Medical Big Data Read more here: https://ift.tt/2LICSpy #BigData #DataScience #MachineLearning #DeepLearning #NLP #Robots #AI #IoT #Finserv

@IainLJBrown 5 years ago

Cancer Risk Assessment in Modern Radiotherapy Workflow With Medical Big Data Read more here: https://ift.tt/2LICSpy #BigData #DataScience #MachineLearning #DeepLearning #NLP #Robots #AI #IoT

@stpiindia 6 years ago

#MachineLearning techniques show promise for supporting medical decisions: By quickly assessing risk, new algorithms may help triage patients and inform clinical decisions https://www.sciencedaily.com/releases/2018/02/180228085357.htm

@gp_pulipaka 7 years ago

Risk Factors for Suicides: A Meta-Analysis of 50 Years of #Research. #BigData #MachineLearning #DataScience #AI… https://twitter.com/i/web/status/805508480840908800