Medical Technology

Current search: machinelearning data link

@theomitsa 10 months ago

https://arxiv.org/abs/2306.09968 ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data #MachineLearning, #DataScience, #ChatGPT @Khulood_Almani @enilev @EstelaMandela @KevinClarity @Shi4Tech @bimedotcom @RLDI_Lamy @Analytics_659 @JagersbergKnut

@giemmecci 1 year ago

Join us today at 8 pm ET for this month #RadAIchat discussing opportunities and challenges associated with the use of synthetic data in medical imaging. #MachineLearning #DeepLearning @RSNA @Radiology_AI https://twitter.com/radiology_ai/status/1630977288408793094

@MedicaliPhone 1 year ago

If Dante were a Data Scientist #MachineLearning #deeplearning #learning via http://twinybots.ch https://medium.com/@rmattivi/if-dante-were-a-data-scientist-inferno-data-part-i-4d5ae073ff32

@dr_nael 1 year ago

Practicing precision medicine with intelligently integrative clinical and multi-omics data analysis #artificialintelligence #dataanalysis #integrativeanalysis #healthcare #integrativemedicine #medicine #multiomics #machinelearning #precisionmedicine https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530549/

@ResearchpodHQ 1 year ago

Dr. Susan Mertins, is exploring how ordinary differential equations and #machinelearning can be applied to #cancer data for biomarker discovery and drug development, leading to improvements in personalised #medicine. Listen now: https://www.buzzsprout.com/582022/11871011-computational-biology-how-mathematical-modelling-can-help-cure-cancer

@NVIDIAHealth 1 year ago

Discover how by relying on data-driven insights, including #MachineLearning models and AI-powered medical devices, #smarthospital can enhance the work of healthcare professionals and hospital management, resulting in a better and faster care. https://nvda.ws/3V1OUuO

@TysonLester 1 year ago

Via @HealthTechMag: "Healthcare Systems: Make #Cybersecurity a Top Priority." https://healthtechmagazine.net/article/2021/11/why-healthcare-systems-need-make-cybersecurity-top-priority "Average hospital rooms contain 15-20 connected medical devices." Sensitive patient data is of paramount importance. #FinTech #HIPAA #AI #MachineLearning #IoT #HR #InsurTech

@freddytn 1 year ago

In #machinelearning, synthetic data can offer real performance improvements Models trained on synthetic data ➡️ eliminate privacy, copyright, & ethical concerns from using real data @MIT_CSAIL @MITEECS @MIT_SCC @MITIBMLab #health #healthcare #medicine https://news.mit.edu/2022/synthetic-data-ai-improvements-1103

@MedicaliPhone 1 year ago

14 Best Data Science with Python Online Courses #MachineLearning #deeplearning #fintech #learning via http://twinybots.ch https://www.mltut.com/best-data-science-with-python-courses-online/

@freddytn 1 year ago

Shifting #MachineLearning for #healthcare from development to deployment & from models to data By A Zhang, L Xing, J Zou & J Wu Data-centric view of #innovation + challenges #health #medicine #datascience #artificialintelligence @natBME @NaturePortfolio https://www.nature.com/articles/s41551-022-00898-y

@H2020MyPal 1 year ago

An interesting study recently published in @PalliativeMedJ looks at the use of #MachineLearning models to detect social distress, spiritual pain as well as severe symptoms in end-of-life #cancer patients using data from medical records. Read more here: https://journals.sagepub.com/doi/full/10.1177/02692163221105595

@KirkDBorne 1 year ago

I look forward to seeing my contribution “Open Medical Data’s Role in the Advancement of #DigitalHealth” here next week >> Opening medical data to the world: https://www.the-yuan.com/323/The-Yuan-calls-for-opening-medical-data-to-the-world.html by @YuanCommunity ———— #BigData #OpenData #Analytics #DataScience #AI #MachineLearning #HealthTech

@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

@EdwardTufte 1 year ago

A+ Imaginative cutting edge visualizations=content driven by real scientists (particle physics, astronomy, medical live data, acoustics, biophysics). And by Pixar, Rox Chast, xkcd. In video, note good layout, multiplicity, quantification #MachineLearning #dataviz #Datascience https://twitter.com/frankwilczek/status/1530027630031945749

@kmborgwardt 1 year ago

I enjoyed this podcast interview on #MachineLearning in #Medicine with the @computomics team, discussing our work on predicting sepsis https://sepsis-network.ch/ and harmonizing Swiss ICU data. #digitalhealth https://twitter.com/computomics/status/1527575002584850433

@TysonLester 2 years ago

Via @HealthTechMag: "Healthcare Systems Need to Make #Cybersecurity a Top Priority." https://healthtechmagazine.net/article/2021/11/why-healthcare-systems-need-make-cybersecurity-top-priority "The average hospital room contains 15 to 20 connected medical devices." #PHI and sensitive patient data are of significant importance. #HIPAA #AI #MachineLearning #IoT

@TysonLester 2 years ago

Via @HealthTechMag: "Healthcare Systems Need to Make #Cybersecurity a Top Priority." https://healthtechmagazine.net/article/2021/11/why-healthcare-systems-need-make-cybersecurity-top-priority "The average hospital room contains 15 to 20 connected medical devices." #PHI & sensitive patient data are of paramount importance. #HIPAA #AI #MachineLearning #IoT

@dipymri 2 years ago

A detailed schedule of the DIPY Workshop 2022 is now available: https://github.com/dipy/dipy_assets/raw/main/DIPY%20Workshop%202022%20Schedule%20V1.pdfSupercharge your data and analyses with DIPY!!! To register, please visit http://workshop.dipy.org #MachineLearning #Python #Medical #Imaging @NIBIBgov

@Unibocconi 2 years ago

Understanding uncertainty in #MachineLearning algorithms - @BotondSzabo6 obtained @ERC_Research starting grant to assess methods used when dealing with large quantities of complex data, as in medical imaging, autonomous cars, or in dating the Big Bang… https://www.knowledge.unibocconi.eu/notizia.php?idArt=23900

@freddytn 2 years ago

Downside of #MachineLearning in #HealthCare How hidden biases in med data could compromise #ArtificialIntelligence approaches Need to improve quality of data but data collection not incentivized rewarded #health #medicine #AI @MIT_CSAIL @MIT_IMES @MIT_SCC https://news.mit.edu/2022/marzyeh-ghassemi-explores-downside-machine-learning-health-care-0201

@moorejh 2 years ago

Synthetic data in machine learning for medicine and healthcare https://www.nature.com/articles/s41551-021-00751-8 #bioinformatics #machinelearning #bigdata #ehr

@rendocrinology 2 years ago

This thread is well worth reading for anyone interested in #MachineLearning or #AI in medicine, ESPECIALLY with EHR data. How you define outcomes & "time zero" are crucial-- make sure you understand the implications of your choices. https://twitter.com/kdpsinghlab/status/1407208969039396866

@AaltoUniversity 2 years ago

A new method for generating synthetic data could solve a major problem for research that depends on access to sensitive data - can help us develop better medical treatments and drugs without privacy worries. #MachineLearning https://twitter.com/FCAI_fi/status/1402197423435530242

@FeestChristoph 2 years ago

Stunning: Privacy-preserving #MachineLearning on decentralised medical data - swarm learning pioneered by @LabSchultze (@helmholtz_ai associate @DZNE_en). Could this technology be the leap forward AI needed to be deployed more widely in healthcare? https://twitter.com/labschultze/status/1397899709629534209

@Mike_Maxwell_UT 2 years ago

We are talking with CMS about how to unlock health data for public health, medicaid, and more. Join us at https://statehitcv.com/ tomorrow at 11:00 am EST... #data #healthanalytics #bigdata #ai #machinelearning #datascience #digitalhealth #publichealth https://lnkd.in/g6zzHeU

@kelkalot 3 years ago

Our latest work which is about how synthetic data can be used to analyse ECGs: "DeepFake electrocardiograms: the beginning of the end for privacy issues in medicine" Medrxiv: https://www.medrxiv.org/content/10.1101/2021.04.27.21256189v1.full.pdf Code: https://github.com/vlbthambawita/deepfake-ecg @vlbthambawita #AI #MachineLearning #ECG

@_Sivasai 3 years ago

Development of #MachineLearning Model Using #EHR Data 2 Identify #Antibiotics Use Among #Hospitalized #patients @rebsmoe @GermsAndNumbers @Deverick_A #MedTwitterAI #ML #ArtificialIntelligence #DHPSP #MedTwitter #MedTwitterAI #data #scicomm #MedTech #Medical #MedEd #AI #bigdata https://twitter.com/alvie_barr/status/1376917871125757953

@FabienBrodie 3 years ago

Machine learning, data is helping medical fraternity: Rahul Sharma - Mint Read more here: https://ift.tt/3vKuLNu #ArtificialIntelligence #AI #DataScience #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT

@queensuResearch 3 years ago

#queensu researcher @ProfSimsim is the @CRC_CRC in Biomedical Computing and Informatics, leveraging #MachineLearning technologies to transform how clinicians treat #cancer using a data-driven, precision medicine approach | #QueensuResearch | #WomenInSTEM https://www.queensu.ca/research/researchers/amber-simpson-0

@arXiv_Daily 3 years ago

Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond https://deepai.org/publication/unbox-the-black-box-for-the-medical-explainable-ai-via-multi-modal-and-multi-centre-data-fusion-a-mini-review-two-showcases-and-beyond by Guang Yang et al. #MachineLearning #NeuralNetwork

@JudyCho7 3 years ago

Writing a grant with no knowledge of biology, statistics or medicine, lacking a clear premise, but stating #MachineLearning a lot; such grants require access to lots of data you don't understand how to clean, or what is being measured. I have reviewed a few of these. https://twitter.com/girish_nadkarni/status/1353859126011568129

@HPDSLab 3 years ago

We have a tool that does just this (extracting data and assembling it) for several different problems in medicine. Would love to get journal suggestions for receptive outlets. #MedTwitter #EpiTwitter #MachineLearning https://twitter.com/jonathanstray/status/1314633513832914944

@vedantacharya20 3 years ago

What happens when you combine a medical student who has spent hours doing chart review with a data scientist? A Natural Language Processing (#NLP) solution to automate the chart review process! #AI #DataScience #MachineLearning #HealthTech https://www.linkedin.com/pulse/v-labs-learnings-intersection-healthcare-data-science-kumaresan

@BrVil 3 years ago

Leveraging #machinelearning and big data for optimizing medication prescriptions in complex diseases: a case study in diabetes management https://journalofbigdata.springeropen.com/articles/10.1186/s40537-020-00302-z #ArtificialIntelligence #ai #ml #InternetofThings #IoT #DataScience #digitalhealth #DeepLearning #DL #mlearning

@TysonLester 3 years ago

Via @Hi_TechTrends: "Big Data In #Healthcare 2020." https://htechtrends.com/big-data-in-healthcare/ #BigData making a big impact in healthcare: -Success with Patients -Diligence in Care -Lowered Costs -Effective/Efficient #Medicine -Advanced Security -More Aware Doctors #Data #Tech #MachineLearning

@IainLJBrown 3 years ago

Data science pathway prepares radiology residents for machine learning - Medical Xpress Read more here: https://ift.tt/3oYXISA #ArtificialIntelligence #AI #DataScience #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT

@MedicaliPhone 3 years ago

Everything A Data Scientist Should Know #MachineLearning #artificialintelligence #learning via http://twinybots.ch https://medium.com/python-in-plain-english/numpy-library-all-a-data-scientist-should-know-f61b159f23b1

@lavanyaai 3 years ago

In this episode of Gradient Dissent, @zacharylipton talks to @l2k about his fascinating journey from musician to Professor, applications of ML in medicine, counterfacutally augmented data and algorithmic fairness. It's a great listen! #machinelearning https://www.wandb.com/podcast/zack-chase-lipton

@machinelearnflx 3 years ago

Big Data, Genes, and Medicine https://zpy.io/4c2249b4 #machinelearning #ad

@machinelearnflx 3 years ago

Big Data, Genes, and Medicine https://zpy.io/4c2249b4 #machinelearning #ad

@machinelearnflx 3 years ago

Big Data, Genes, and Medicine https://zpy.io/4c2249b4 #machinelearning #ad

@moorejh 3 years ago

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data https://www.nature.com/articles/s41598-020-69250-1 #informatics #machinelearning #privacy #security

@moorejh 3 years ago

Interested applying ML & AI to electronic health record data? Join me at 10:40am EDT for my TransMed 2020 keynote on 20 challenges for AI in medicine as part of #ISMB2020 https://www.iscb.org/cms_addon/conferences/ismb2020/tracks/transmedcosi #artificialintelligence #machinelearning #EHR #informatics #bioinformatics

@UnlearnAI 3 years ago

Check out @DataInnovation's newest Data Innovator interview: @ElineCMC spoke with @UnlearnAI Founder and CEO @charleskfisher. "[We are] using the kinds of data we encounter in medicine to build new #machinelearning technologies." #AI https://bit.ly/2Caub4v

@FelipeKitamura 3 years ago

1/20ish Do you train #MachineLearning models on #medicalimaging #data? These are a few tips to help prepare your data. A #tweetorial for #radres, #rads and #DataScientists. Inspired by a recent paper in @radiology_rsna https://pubs.rsna.org/doi/pdf/10.1148/radiol.2020192224

@ipfconline1 4 years ago

[Some Best Of #AI from Last Year] The Use of Natural Language Processing to Extract Unstructured Medical Data From Text https://buff.ly/2Chb2xi v/ @insideBigData #NLP #MachineLearning #BigData #DigitalHealth @JimMarous @Chris_Skinner @MikeQuindazzi @jblefevre60 @ahier @IrmaRaste

@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

@nlliang 4 years ago

A spotlight on my collaboration with @PittVbl on using morphology and clinical data in #predicting #aaa growth! The intersection of #clinicalanalytics, #imaging and #machinelearning is the next step in personalized medicine. @UPMC_Vascular https://twitter.com/healthdatapgh/status/1214939918344044544