Medical Technology

Current search: machinelearning unset models

@ManaMSF94 10 months ago

Happy to share our latest publication, a collaboration between #MachineLearning Tools/Research and Education subcommittees of @SIIM_Tweets led by @ShahriarFaghani ! Our study focuses on reproducibility of DL models for medicallmaging #TheJDI http://rdcu.be/dgajs

@theomitsa 11 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

@Radiology_AI 11 months ago

The Role of Federated Learning Models in Medical Imaging https://doi.org/10.1148/ryai.230136 @Hopkins_Rad #MachineLearning #LiverCancer #LiverTumor https://t.co/53UuMQ2AhA

@moorejh 12 months ago

A flexible symbolic regression method for constructing interpretable clinical prediction models - Nature Digital Medicine https://www.nature.com/articles/s41746-023-00833-8 #machinelearning #bioinformatics #geneticprogramming #symbolicregression

@Radiology_AI 1 year ago

The Role of Federated Learning Models in Medical Imaging https://doi.org/10.1148/ryai.230136 @Hopkins_Rad #DeepLearning #MachineLearning #LiverTumor https://t.co/cXZ9eb7XAZ

@SPIEtweets 1 year ago

️ Roadmap to fair AI in #MedicalImaging - thanks to #OpenAccess @MIDRC_ study revealing biases in #AI models - learn more in #SPIE_JMI: https://spie.org/news/roadmap-to-fair-ai-revealing-biases-in-ai-models-for-medical-imaging?utm_id=ztwz #DiversityAndInclusion #MachineLearning #MedTwitter https://t.co/iyuFZMHLUZ

@Marktechpost 1 year ago

A Research Group from Stanford Studied the Possible Fine-Tuning Techniques to Generalize Latent Diffusion Models for Medical Imaging Domains Quick Read: https://www.marktechpost.com/2023/03/30/a-research-group-from-stanford-studied-the-possible-fine-tuning-techniques-to-generalize-latent-diffusion-models-for-medical-imaging-domains/ Paper: https://arxiv.org/pdf/2210.04133.pdf #ArtificialIntelligence #MachineLearning

@medical_xpress 1 year ago

#Machinelearning models rank predictive risks for Alzheimer's disease @OhioState @SciReports https://doi.org/gr2qp7 https://medicalxpress.com/news/2023-03-machine-alzheimer-disease.html

@Radiology_AI 1 year ago

Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer Networks https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformer #DeepLearning #MachineLearning https://t.co/vkN17E7Iso

@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

@Radiology_AI 1 year ago

Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer Networks https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #AI #MachineLearning https://t.co/ATFyMZCVZE

@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

Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer Networks https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformers #Transformer #MachineLearning https://t.co/xKfodRdUM4

@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

@Radiology_AI 1 year ago

@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

@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

@Path_AI 1 year ago

This week @Google introduced a suite of tools designed to make medical images more interoperable. We are encouraged to see that helping develop #artificialintelligence and #machinelearning models around them will be a key element of the initiative. http://tinyurl.com/mvn84bt3

@Radiology_AI 1 year ago

#AI models trained on radiology images offer a better starting point for transfer learning in medical imaging https://doi.org/10.1148/ryai.210315 @zahifayad @BMEIIsinai @IcahnMountSinai #DeepLearning #ML #MachineLearning https://t.co/0BxL3KvLfG

@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

@SwissCognitive 2 years ago

Pharmaceutical companies are using #ArtificialIntelligence to streamline the process of discovering new #medicines. #MachineLearning models doing it in minutes what might take humans months to achieve manually🦾 cc @joana_ut @ageitgey @mvollmer1 #AI http://ow.ly/Vp0b50ISl2k

@ricardovinuesa 2 years ago

In my latest piece published in @YuanCommunity, I discuss the importance of #Interpretability in #DeepLearning models, particularly in the context of #Medical applications. We need to open the #BlackBox! More info: https://www.nature.com/articles/s42256-021-00414-y #SDGs #MachineLearning #AI #Interpretable https://twitter.com/YuanCommunity/status/1495952256533168128

@NeuyAi 2 years ago

Today our newest #Medical #AI model is ready for testing. This one covers rosacea, eczema, and basal cell carinoma. This now brings our dermatology models to 4. #data #ArtificialIntelligence #MachineLearning #datasciencejobs #Cancer #skincare #NEUYAI #NEUYVision #CancerResearch https://t.co/WAxh9qjS30

@ImFusionGmbH 2 years ago

Run your own #AI models in the ImFusion Suite and benefit from all its visualization features. Check out our public demo repository to learn how to do it: https://bit.ly/2XuqKk0 #medicalimaging #MachineLearning #MedTech https://t.co/8uUyETETgw

@PinakiLaskar 2 years ago

Why are #machinelearning models trained to make medical decisions that perform at nearly the same level as human experts not in clinical use? https://www.linkedin.com/posts/pinakilaskar_machinelearning-algorithms-deeplearning-activity-6806429189512728576-8Dhl #BigData #Analytics #DataScience #Python #RStats #JavaScript #ReactJS #Serverless #Linux #Coding #100DaysofCode

@PhenarisGmbH 3 years ago

Last chance to register for the webinar on our Transporter Models StarDrop integration! https://www.phenaris.com/news/webinar-on-our-stardrop-integration/ #cheminformatics #machinelearning #drugdiscovery #transporter #phenaris #science #innovation #datascience #pharma #toxicityprediction #riskassessment #safety #medicine https://t.co/zayXBm92GO

@gp_pulipaka 3 years ago

Creating Medical Imaging Models with Clara Train 4.0. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #HealthTech https://bit.ly/329XM7O https://t.co/zWxPKN3TjN

@FJCarmonas 3 years ago

Great discussion at the #sail20 Symposium with @zakkohane @MarzyehGhassemi & colleagues on the obstacles that #ArtificialIntelligence models face as these approach deployment in #healthcare, how these are being tackled, and what the future holds! #medicine #MachineLearning https://t.co/evn5jDbrVh

@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

@ulmdesign 3 years ago

Building models for heart disease prediction using #MachineLearning techniques - #opensource > https://github.com/rtflynn/Heart-Disease-Model | #Python #DeepLearning #scikitlearn #keras #kaggle #heart #disease #medical #clinical #research #CSV #DataScience #NeuralNetwork https://t.co/gR0G2YG9pL

@bobehayes 3 years ago

Management #AI: Matching AI Models To Business Needs, Supervised Learning Examples — Ad #Pricing And Medical Imaging https://bit.ly/3guoZHO #artificialintelligence #MachineLearning #DataScience https://t.co/EIzCbf3Xze

@FelipeKitamura 4 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

@_rohitghosh 4 years ago

Just crossed the threshold wherein memes are now part of my AI slides . Well, what better than our beloved late actor to drive the point home about need interpretability of DL models in medical imaging #AI #MachineLearning #MedicalImaging https://t.co/2wPBkcqBbi

@AmineKorchiMD 4 years ago

✍️Automatic annotation of medical images is the holy grail of #AI in #Radiology. This paper describes #MachineLearning models to generate annotations for review & appeared to expedite annotation with high sensitivity at the expense of specificity. https://link.springer.com/article/10.1007/s10278-019-00299-9?wt_mc=alerts.TOCjournals&utm_source=toc&utm_medium=email&utm_campaign=toc_10278_33_2

@imageannotation 4 years ago

Announcing: #COVID Image Annotation Services. Our human medical image annotators are providing Lung Segmentations, Bounding Boxes, and other annotations to help train COVID-19 #machinelearning models to predict outcomes and treatment needs. To Contact Us: https://buff.ly/2JIF3XT https://t.co/4TrFwYX7UX

@GoogleAI 4 years ago

Check out new exploratory research into #MachineLearning models that can learn prescription patterns in order to assist health practitioners to identify potentially erroneous medication orders. Learn more at https://goo.gle/3aECxxo https://t.co/hTTJQkFxCT

@GSCollins 4 years ago

Reporting quality of studies using #MachineLearning models for medical diagnosis by @epi_afro "All studies in this review failed to use reporting guidelines, and a large proportion of them lacked adequate detail..." https://tinyurl.com/s37a59w

@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

@Axial_3D 4 years ago

WE'RE HIRING! We are looking for engineers to help with the creation of medical models and machine learning data, to work between 12-24 hours per week. https://www.axial3d.com/careers/ #flexibleworking #jobfairy #belfastjobs #MachineLearning https://t.co/bGFoxoBH83

@davorjord 4 years ago

3D Models Of Living Human Cells Made With #ArtificialIntelligence Could Help Revolutionize Cancer Treatment #AI #ML #DL #MachineLearning #DeepLearning #ComputerVisison #Medicine #Healtcare #video https://t.co/E2GKZXKVQr