Medical Technology

@dsui_miami_uro 1 year ago

Scientists at the Desai Sethi #Urology Institute at @umiamimedicine are pioneering research to harness #MachineLearning for the diagnosis and prognosis of #ProstateCancer. The study was recently published in the Journal of Personalized #Medicine. https://physician-news.umiamihealth.org/desai-sethi-urology-institute-scientists-pioneer-research-to-harness-power-of-machine-learning-in-prostate-cancer-imaging/

@daniel_olofin 1 year ago

I just published Modeling the annual medical expenditure for health insurance. Kindly read, comment, and clap https://link.medium.com/HwXnvRKTZxb @starboy_abefe @DOh_Bams @datagenotype @DrNobleKKurian @DrAbioye @statclinic @seunmolz #dataviz #DataAnalytics #DataScience #dataviz #RStats

@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

@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

@Heiderlab 2 years ago

Our new paper on federated learning in healthcare applications has been published by @OUPBioinfo #MachineLearning #Bioinformatics #MedicalInformatics @achauschild @m_lemanczyk @TobiFrisch @jmatschinske @aholzin @janbaumbach https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btac065/6525214?login=true

@odsc 2 years ago

Results published recently in Nature Medicine demonstrate that federated learning builds powerful AI models that generalize across healthcare institutions. #DataScience #FederatedLearning #Healthcare https://hubs.li/H0XF-170

@UofT_TCAIREM 2 years ago

Some exciting new research published in @CMAJ from several #ArtificialIntelligence (AI) in #medicine leaders, including @UofT_TCAIREM director Muhammad Mamdani. • https://www.cmaj.ca/content/193/34/E1351 #machinelearning #healthcare

@sechidis 2 years ago

Our paper on using knockoffs for controlled predictive biomarker identification has just been published in Statistics in Medicine. Check it out: https://onlinelibrary.wiley.com/doi/10.1002/sim.9134 #MachineLearning #StatisticsinMedicine #predictivebiomarkers

@slatornews 3 years ago

Study published in peer-reviewed⚕️journal says @Google #Translate, despite achieving high #translation accuracy in 2 languages, is still not ready for use in #medical emergencies. #xl8 #l10n #machinelearning #googletranslate @GoogleAI http://bit.ly/slator-google-translate-0321

@OlyaKudina 3 years ago

Happy to share our new paper with @DeJaZegger on a responsible integration of #MachineLearning in medical diagnostics, published today #openaccess in the Journal of Evaluation in Clinical Practice https://onlinelibrary.wiley.com/doi/full/10.1111/jep.13535 #bias #AIethics #bioethics

@kelkalot 3 years ago

The paper describing one of our biggest datasets so far is now published: https://www.nature.com/articles/s41597-020-00622-y Hopefully it will inspire people to create reproducible and shareable research in #AI and #Medicine Blogpost: https://researchdata.springernature.com/posts/hyperkvasir-data-to-enable-ai-for-automated-gi-disease-detection #GI #MachineLearning