Medical Technology

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@Radiology_AI 10 months ago

Differences in data distribution may affect federated #DeepLearning model performance in medical image segmentation https://doi.org/10.1148/ryai.220082 @ND_CSE @hku_science @ZJU_China #FederatedLearning #AI #MachineLearning #AIME23 #AIME2023 https://t.co/Sg0Y2jheGy

@Radiology_AI 11 months ago

Expert panelists @pezlarson @Dr_ASChaudhari @giemmecci discuss the role of synthetic medical imaging data https://pubs.rsna.org/page/ai/blog/2023/05/ryai_editorsblog051623 @Khosravi_Bardia #SyntheticData #MachineLearning #AI #PedsRad #SPR23 https://t.co/9pts59Gdx4

@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

@calvin_zcx 1 year ago

Super glad to give a lecture @cornell_tech on using #MachineLearning and #EHR #RWD data to understand #LongCovid, covering our latest Nature Communication and Nature Medicine papers https://t.co/6K9CsXPBal

@insitro 1 year ago

insitro is united by our passion for finding new ways to design & deliver medicines to patients. We’re looking for exceptional people to join us in using #MachineLearning and data at scale to transform drug discovery & development. Learn more at https://insitro.com/careers #AI #ML https://t.co/rF6I4ydkXr

@UWRadiology 1 year ago

Exciting news: #Radiology chair Dr. Dushyant Sahani and colleagues recently launched the UW Institute for Medical Data Science which bridges #ArtificialIntelligence, #MachineLearning and #Healthcare. Read more: http://bit.ly/3TbC9Oh #radtwitter #medtwitter #MedEd @UWMedicine https://t.co/oNiA7NyUZ0

@Radiology_AI 1 year ago

T - 1 Hour: Don't miss the March #RadAIchat this Wed. Mar. 1st at 8 PM ET on "Synthetic Data in Medical Imaging" moderated by @khosravi_bardia and featuring @giemmecci @Dr_ASChaudhari @pezlarson #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/nbpQWh6TeS

@Radiology_AI 1 year ago

Here is a sneak peek at the March #RadAIchat this Wed. Mar. 1st at 8 PM ET on "Synthetic Data in Medical Imaging" moderated by @khosravi_bardia and featuring @giemmecci @Dr_ASChaudhari @pezlarson #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/KCMa4FQgf2

@Radiology_AI 1 year ago

T - 6 hours: Don't miss the March #RadAIchat this Wed. Mar. 1st at 8 PM ET on "Synthetic Data in Medical Imaging" moderated by @khosravi_bardia and featuring @giemmecci @Dr_ASChaudhari @pezlarson #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/vjFPYgStPy

@Radiology_AI 1 year ago

Join @Radiology_AI for the March #RadAIchat this Wed. Mar. 1st at 8 PM ET on "Synthetic Data in Medical Imaging" moderated by @khosravi_bardia and featuring @giemmecci @Dr_ASChaudhari @pezlarson #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/MevjNBH0Bt

@Radiology_AI 1 year ago

Mark your calendar for the March #RadAIchat this Wed. Mar. 1st at 8 PM ET on "Synthetic Data in Medical Imaging" moderated by @khosravi_bardia and featuring @giemmecci @Dr_ASChaudhari @pezlarson #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/rLYcEza4CM

@Radiology_AI 1 year ago

T - 1 Day: Don't miss the March #RadAIchat this Wed. Mar. 1st at 8 PM ET on "Synthetic Data in Medical Imaging" moderated by @khosravi_bardia and featuring @giemmecci @Dr_ASChaudhari @pezlarson #MachineLearning #DeepLearning #radiomics @cekahn @HElhalawaniMD @RSNA https://t.co/oTMsWsnN2y

@insitro 1 year ago

We’re 5,000 followers strong! Thanks for joining us as we journey to transform #drugdiscovery through #machinelearning and data at scale to more efficiently get new medicines to patients in need. https://t.co/aR0UgSWrN1

@andresvilarino 1 year ago

Unsupervised anomaly detection with #GenerativeAdversarialNetworks l in #mammography #GANs #BreastCancer #ArtificialIntelligence #AI #ML #MachineLearning #DeepLearning #DL #HealthCare #HealthTech #MedicalTech #MedTech #Algorithm #Data #NeuralNetwork https://buff.ly/3khAvxd https://t.co/YhGOvqTyFS

@AndreaSottoriva 1 year ago

Fully-funded 4-yrs #PhD in #DataScience for #biology & #medicine, @humantechnopole (Milan) + @Sissaschool (Triest), no restriction on nationality. DATA+THEORY to fight diseases. Apply now, end Feb 17th! -> http://datascience.sissa.it/apply #LifeSciences #MachineLearning #datasciencejobs https://t.co/wSOUcexSIL

@Radiology_AI 1 year ago

A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning https://t.co/924nXgpWwb

@KirkDBorne 1 year ago

My article “Open Medical Data Advances #DigitalHealth” https://www.the-yuan.com/344/Open-medical-data-advances-digital-health.html Other articles in Open Medical Data series at @YuanCommunity: https://www.the-yuan.com/article_list/Open%20Data%202022.html —— #OpenData #BigData #DataScience #Data4Good #AI #MachineLearning #HealthTech #OpenData2022 #IoT #IIoT #Wearables https://t.co/bXvLN3qXyy

@nejm_ai 1 year ago

Meet the hosts of NEJM AI Grand Rounds: @arjunmanrai, PhD, is an assistant professor of biomedical informatics @harvardmed. Raj directs a research lab of #machinelearning scientists, clinicians, and biomedical data scientists working to improve medical decision making. https://t.co/hJamOx7ci6

@Radiology_AI 1 year ago

A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformers #ML #MachineLearning https://t.co/Yjh54EzRFg

@Radiology_AI 1 year ago

A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/cfC4OrFxC0

@Radiology_AI 1 year ago

A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/t0Vza8lPaU

@AI_Advice 1 year ago

#Healthcare: #AI Predicts #Autism in Children from Medical Data https://bit.ly/3Fcr6z5 #5G #100DaysOfCode #Analytics #ArtificialIntelligence #BigData #Cloud #Data #DataScience #IoT #MachineLearning #ML #NLP #OpenSource #Python #Serverless #TScottClendaniel #WomenWhoCode https://t.co/5LXIQZ6j4L

@ipfconline1 1 year ago

Synthetic Data: Changing Race In Facial Images to Address Bias in Medical Datasets https://buff.ly/30Jw5p2 @MartinA14523688 @UniteAi #MachineLearning #HealthTech #AI #AIEthics Cc @GlenGilmore @DeepLearn007 @sallyeaves @Xbond49 @jblefevre60 @Nicochan33 @ahier @MiaD @IrmaRaste https://t.co/hopVLR5xf7

@Radiology_AI 1 year ago

"The aim of this article is to discuss data, data creation, and the potential financial stakeholders for the development of #AI in medicine" https://doi.org/10.1148/ryai.220054 @MayoFL_RadRes @ronnie_sebro @MayoRadiology #DataOwnership #ML #MachineLearning https://t.co/2DPMVyczPX

@KirkDBorne 1 year ago

@ipfconline1 2 years ago

@INM7_ISN 2 years ago

Postdoc position available @HHU_de & @fz_juelich We are looking for a new colleague to work on an interdisciplinary project - #DataScience & #MachineLearning on medical data - Strong team with excellent infrastructure - Duration of the position on to 4 years ! https://t.co/PTUMPk2398

@DigitalEdwyn 2 years ago

The Power of Medical Device Data ▶️ #Analytics #MachineLearning #AI #Python #IoT #IIoT #ML #Serverless #flutter #TensorFlow #CloudComputing #BigData #mHealth #HealthIT #HIMSS22 #DigitalHealth #eHealth #programming #IoMT #100DaysOfCode https://t.co/FzghBEncKF @Analytics_699

@gilienv 2 years ago

Opening Session of the Asia-Pacific @APBioNetorg #BWF2022 #Student #Workshop on #Artificial #Intelligence driven #Bioinformatics. Starting today, we teach #Statistics & #machinelearning approaches on using existing data/information 2predict future outcomes Day1: #AI in #Medicine https://t.co/8O07ekm7lN

@ipfconline1 2 years ago

@marcusborba 2 years ago

How AI advances can enable medical research without sharing personal data https://www.weforum.org/agenda/2021/10/advances-ai-enable-medical-research-without-sharing-data/ via @wef #Medicine #ArtificialIntelligence #BigData #Analytics #DeepLearning #AI #HealthTech #100DaysofCode #iot #serverless #womenwhocode #DataScience #MachineLearning #healthcare https://t.co/XtSbEm5kBK

@IQVIA_global 2 years ago

#Genomics and #machinelearning will be crucial in identifying and analyzing health data in the coming years, creating the building blocks of precision medicine. Join us in our upcoming webinar to learn about the use of genomics in drug development: https://bit.ly/38UHO4A https://t.co/pWT1LyxNXa

@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

@Strat_AI 2 years ago

#CyberSecurity: Thousands of Humana customers have their medical data leaked #5G #100DaysOfCode #AI #Analytics #ArtificialIntelligence #DataScience #DeepLearning #Flutter #JavaScript #MachineLearning #ML #NodeJS #Python #RStats #Tech #VR #WomenWhoCode https://dy.si/frZCo https://t.co/DDAhag2OMq

@KU_ENT 2 years ago

Read about our cutting edge research leveraging #machinelearning to analyze complex data for clinical apps 🤓🧠 @drandresbur & @JenVillwockMD featured in Kansas Science + Medicine @KUMedCenter https://bit.ly/KUMedmagazine #ENTsurgery #WeAreOto #AugmentedIntelligence #MedTwitter https://t.co/ea8roT0ivo

@AI_Miami 2 years ago

Data breach at third-party provider exposes medical information of US healthcare patients #5G #100DaysOfCode #AI #Analytics #ArtificialIntelligence #DataScience #DeepLearning #Flutter #IOT #IIOT #JavaScript #MachineLearning #ML #NodeJS #Python #VR https://dy.si/36JUmN https://t.co/q5fXVfOtjB

@Strat_AI 2 years ago

@INM7_ISN 2 years ago

Do we need to re-think #MachineLearning for (brain) medicine? Current proof-of-concept studies on retrospective, repository data may not yield a relevant practical impact @den_hed & I argue for more "doctors at the black box" for more user perspective https://www.nature.com/articles/s41380-020-00931-z https://t.co/6NJrne9tuu

@EASLedu 2 years ago

Fayyaz Minhas on #biology and #medicine meet #AI, starting by explaining #MachineLearning: learning from data for generalisation to unseen cases, captivating! #livertwitter #ILC2021 https://t.co/3xjI9f464z

@AI_Miami 2 years ago

#Cyber: CVS Accidentally Exposed 1 Billion Data Points, Including Medications and COVID-19 Vaccines #100DaysOfCode #AI #Analytics #DataScience #DeepLearning #Flutter #IOT #IIOT #JavaScript #MachineLearning #ML #NodeJS #Python #VR #WomenWhoCode https://dy.si/ZmqNy https://t.co/gs7axMaMNZ

@Paula_Piccard 2 years ago

Synthetic Data: Changing Race In Facial Images To Address Bias In Medical Datasets https://www.unite.ai/changing-race-in-facial-images-to-address-bias-in-medical-datasets/ #MachineLearning #5G #DataScience #100DaysOfCode #Python #Cybersecurity #BigData #AI #IoT #DeepLearning #ArtificialIntelligence #NLP #robots #Industry40 #tech https://t.co/N4Wt71G03O

@AI4Pathology 2 years ago

Our new @natBME short paper demonstrates utility and identifies key challenges associated with using #synthetic data in #MachineLearning and #AI for medicine. Read link: https://rdcu.be/cmAfk Journal link: https://go.nature.com/3wtgSDr @richarizardd95 https://t.co/igwJTa8EZj

@sparkfun 2 years ago

Project highlight: An ECG Analyzer powered by @EdgeImpulse and #machinelearning that classifies heart rate and rhythm data with >90% accuracy, offering important #medical access for rural areas. https://bit.ly/3pAeU1b #DIY #assistivetech https://t.co/VlmzkHBKqF

@ulmdesign 3 years ago

Construct data frame from #DICOM headers - a #MachineLearning example > https://bit.ly/3ejI1kv | #TensorFlow #python #tutorial #DataScience #csv #scikitlearn #keras #pydicom #medical #MedicalImaging https://t.co/ky0BPw0oMw

@YarysaEMR 3 years ago

Yarysa is an EMR system made for hospitals, it’s a data-driven software which helps medical facilities enhance their healthcare delivery. #hospitalsinghana #ghana #doctorsgh #emrghana #softwaregh #ehealth #africa #GH #data #AI #MachineLearning #DigitalTransformation #telehealth https://t.co/zoExQ2YIyS