Should #ArtificialIntelligence be used to support clinical ethical decision-making? A systematic review of reasons #AI #ML #MachineLearning #DeepLearning #DL #Tech #Technology #Algorithm #Data #HealthCare #HealthTech #MedicalTech #MedTech https://buff.ly/3O5u0Kk https://t.co/ySxUTxOHxG
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
#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
Congratulations to our prolific medical students @sarah_giacobbo and @KevinRyanMurray for putting together an exceptional scoping review on #machinelearning in #hearttransplantation with @faridftn #ishlt2022 https://t.co/tfEoo5gsRD
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
Serious question: Are there enough AI experts to review all of the medical & clinical AI papers being submitted for publication? #informatics #machinelearning #artificialintelligence #bioinformatics
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.
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
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
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
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
Did you see this? A review of public comments on a proposed FDA regulatory framework for modifications to #AI and #machinelearning based software as a medical device has found that 63% came from parties with financial ties to industry. http://ow.ly/hAWE50C5cIu https://t.co/aFTQHYcLAh
"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
✍️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
A new @CellCellPress Special Review issue on #Therapeutics: #Cancer, #autoimmune #disease, #vaccines, #RareDisease #MachineLearning and #medicine, #CRISPR #AAV, #pharma #neurodegeneration - its all @ http://bit.ly/2V9mLV1 https://t.co/TXz3prO4yu
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
.@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
tips to review #MachineLearning papers, esp. in #medicine & #neuroscience: -ask for a flowchart from raw data to final metrics! -don't assume CV (like repeated holdout) and advanced metrics (AUC) are implemented correctly. If you don't follow it drunk, they're likely wrong!
