Medical Technology

@CMILab_UFCOM 1 year ago

Check out this brief review @CJASN by our lab's very own Sam Border. Great things happen at @UF_IC3 when @CMILab_UFCOM collaborates with @AshkarLab to educate the world on #spatialomics #machinelearning #digitalpathology and #medicalAI. #UFHealth https://twitter.com/CJASN/status/1640769654942474245

@jonc101x 1 year ago

#AI and #MachineLearning in #Medicine - Why, What and How? About to review with @ACPinternists at 3:50pm Pacific. @EricTopol will close out with his perspective on "Curiosity." https://www.acponline.org/about-acp/chapters-regions/united-states/california-chapter/news-meetings/california-chapters-meeting-hub

@cekahn 2 years ago

Attention @MICCAI_Society grad students and post-doctoral fellows! Grow your knowledge + skills in medical writing, peer review, statistics, and publication ethics. Apply for the @Radiology_AI Trainee Editorial Board! #MachineLearning #Radiology https://twitter.com/Radiology_AI/status/1512506829951053824

@CellPressNews 2 years ago

In this review, the authors highlight key promises and achievements in integration of #MachineLearning platforms into #ClinicalMedicine and outline limitations and challenges toward enhanced integration of #LearningSystems into the medical realm. https://www.cell.com/med/fulltext/S2666-6340(21)00155-0

@kmborgwardt 2 years ago

New article for anyone interested in predicting #sepsis (or other medical complications): "Early Prediction of Sepsis in the ICU Using #MachineLearning: A Systematic Review" https://www.frontiersin.org/article/10.3389/fmed.2021.607952 w/ @Michael_D_Moor @Pseudomanifold @ExpectationMax @Jutzeler_Cathy @AGKBorgwardt

@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

@DanielAKeane10 3 years ago

Data Mining in Healthcare - A Review An interesting scientific paper: https://www.sciencedirect.com/science/article/pii/S1877050915036066 #AI #DataScience #Analytics #Statistics #Linux #RStats #dataviz #Python #100DaysOfCode #WomenWhoCode #Tech #CyberSecurity #nodejs #healthcare #biology #medicine #business

@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

@globaliqx 3 years ago

Researchers say #ArtificialIntelligence and #MachineLearning could enhance scientific peer review https://buff.ly/2ZMjH4c #technologynews #innovation #startups #health #medicine @BernardMarr @Ronald_vanLoon @pradeeprao_ @PawlowskiMario @enricomolinari @DrJDrooghaag @WSWMUC

@LuisMateusRocha 3 years ago

"In the future, our review process of #BigData research will include reviewers with such specific expertise." #duh Covid-19 studies based on flawed Surgisphere data force medical journals to review processes https://www.theguardian.com/world/2020/jun/12/covid-19-studies-based-on-flawed-surgisphere-data-force-medical-journals-to-review-processes?CMP=Share_AndroidApp_Tweet

@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

@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

@mitpress 4 years ago

.@harvard_data Science Review has returned with its 1st issue of 2020! Check out this fresh batch of articles on the latest topics in #datascience: differential privacy in the 2020 census, trusting #algorithms, precision medicine, and more. #ReadUPScience http://mitsha.re/kK9g50yfhEN

@WIRED 7 years ago

Here are the top 10 technologies MIT Technology Review wants you to know about right now. Not all of them are good news.

@cor_marti 7 years ago

Challenges and Opportunities of Big Data in Health Care: A Systematic Review #BigData #digitalhealth #ehealth http://medinform.jmir.org/2016/4/e38/

@JMedInternetRes 7 years ago

Challenges and Opportunities of #BigData in #HealthCare: A Systematic Review http://medinform.jmir.org/2016/4/e38 #Analytics… https://twitter.com/i/web/status/800734335716442112

@gigabarb 7 years ago

NFL to Review Medical Response to Cam Newton Hit http://on.wsj.com/2cPOGqb via @WSJ

@WIRED 7 years ago

Unlike medical research, the risks—and rewards—of analyzing big, semi-public databases are just beginning to become clear.

@WIRED 8 years ago

At 27 pounds, the Phoenix is among the lightest and cheapest medical exoskeletons. (MIT Technology Review)