RT @NaturePortfolio: Federated learning, a method for training AI algorithms that protects data privacy, was used in a study in @NatureMedi…
RT @NaturePortfolio: Federated learning, a method for training AI algorithms that protects data privacy, was used in a study in @NatureMedi…
RT @anthonycosta: I'm in the unique position of having contributed to this work with my colleagues at @IcahnMountSinai, followed by a move…
RT @NaturePortfolio: Federated learning, a method for training AI algorithms that protects data privacy, was used in a study in @NatureMedi…
New AI learning style! https://t.co/w5ndLNx3ng
Congratulations to Dr Josh @kaggieguy and team for the publication of this latest work in @NatureMedicine! "Federated learning for predicting clinical outcomes in patients with #COVID19" was published on September 15th. https://t.co/zT9dbm132W 👏👏👏
RT @kwon_youngjoon: Our paper on federated learning is published in @NatureMedicine! Quick takeaways: - FL model has better internal and…
RT @BenGlicksberg: Wonderful to play a small part of this huge #FederatedLearning #AI initiative at @SinaiClinIntel + @IcahnMountSinai. Sp…
RT @NaturePortfolio: Federated learning, a method for training AI algorithms that protects data privacy, was used in a study in @NatureMedi…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
I'm in the unique position of having contributed to this work with my colleagues at @IcahnMountSinai, followed by a move to @NVIDIAHealth @NVIDIAAI join a similarly extraordinary group of people advancing medical AI and FL. An incredible privilege. https:/
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
Federated learning, a method for training AI algorithms that protects data privacy, was used in a study in @NatureMedicine to predict future oxygen requirements of symptomatic patients with COVID-19. https://t.co/1w9QjouMgN https://t.co/ZgScDd27Ci
RT @BenGlicksberg: Wonderful to play a small part of this huge #FederatedLearning #AI initiative at @SinaiClinIntel + @IcahnMountSinai. Sp…
Wonderful to play a small part of this huge #FederatedLearning #AI initiative at @SinaiClinIntel + @IcahnMountSinai. Special kudos to @kwon_youngjoon @anthonycosta @ekoermann and the entire @SinaiClinIntel team! https://t.co/mgIrnLrsAh
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @GustavoNino20: 😄Really excited for being part of this high-impact #COVID19 work in @NatureMedicine !! We need more #ArtificialIntellig…
RT @CDADeathStar: Federated learning for predicting clinical outcomes in patients with COVID19 null https://t.co/IKpJ3a1hOf #DTHSTR
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
Federated learning for predicting clinical outcomes in patients with COVID19 null https://t.co/IKpJ3a1hOf #DTHSTR
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @GustavoNino20: 😄Really excited for being part of this high-impact #COVID19 work in @NatureMedicine !! We need more #ArtificialIntellig…
😄Really excited for being part of this high-impact #COVID19 work in @NatureMedicine !! We need more #ArtificialIntelligence #MachineLearning in #pediatrics Many thanks and congrats 🥂to authors and #lung #imaging group @ChildrensNatl https://t.co/OspW
"#FederatedLearning for predicting clinical outcomes in patients with #COVID19" 20 institutions training a FL model for chest X-ray prediction of future oxygen requirements FL outperformed all local models, showing its power by aggregating multi-site data
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @gustavocorradi: Mais uma participação Dasa em uma publicação em uma revista de relevância internacional(#naturemedicine). Meus agradeci…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
Aprendizaje federado (entrenar modelos de inteligencia artificial con datos de múltiples fuentes manteniendo anonimato) para predecir resultados clínicos en pacientes con #COVID19" Datos de 20 centros a nivel mundial ▶️https://t.co/8MzimtWfYE @drsxr @ma
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
Federated Learning unleashes AI big data with fewer privacy hurdles & without conventional data sharing… https://t.co/DDVKNTFWd8
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
RT @alvie_barr: Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes glo…
Exciting! Federated Learning for Predicting Clinical Outcomes in Patients with #COVID19 👉 Used data from 20 institutes globally to train model, without data exchange Link: https://t.co/4V8xyrmSVz [Authors Linked Below] @drsxr @mattlungrenMD #100daysofco
#FederatedLearning for predicting clinical outcomes in #patients with #COVID19 #AI #ArtificialIntelligence #Algorithm #ML #MachineLearning #DeepLearning #DL #NeuralNetworks #Data #Tech #Technology #HealthCare #HealthTech #MedTech https://t.co/2omIPOU67g
Professor Fiona Gilbert, senior author on the latest research published in Nature Medicine to demonstrate the importance of federated learning in artificial intelligence. https://t.co/xwFF8IBQln
This was a super cool project that I played a super small role in. It provides a nice example of how federated learning can provide a powerful approach for training AI models. Especially if you are in a scenario where your sample size ain’t huge. https://t
Mais uma participação Dasa em uma publicação em uma revista de relevância internacional(#naturemedicine). Meus agradecimentos a todo o time dasa. @FelipeKitamura https://t.co/iRoYFupbzy
Congrats on this international landmark paper showing the power of #federatedlearning to drive #healthcareai robustness and generalizability. This work catalyzes adoption of both commercial and non-commercial platforms for #federatedlearning in medicine.
RT @kwon_youngjoon: Our paper on federated learning is published in @NatureMedicine! Quick takeaways: - FL model has better internal and…
Our paper on federated learning is published in @NatureMedicine! Quick takeaways: - FL model has better internal and external validity - FL allowed for fast and global collaboration for #COVID19 patients - has potential to generalize to other disease ht
I am pleased having been able to contribute to this major international effort. @CUH_NHS @CambridgeBRC @Cambridge_Uni
Federated learning for predicting clinical outcomes in patients with COVID-19 https://t.co/8aZco3Zyva
Federated learning for predicting clinical outcomes in patients with COVID-19 - https://t.co/ld9Z8SexyX https://t.co/oelcsCwj4d