Medical Technology

@calvin_zcx 1 year ago

Super glad to give a lecture @cornell_tech on using #MachineLearning and #EHR #RWD data to understand #LongCovid, covering our latest Nature Communication and Nature Medicine papers https://t.co/6K9CsXPBal

@neumll 1 year ago

⚙️ ETL processes for medical and scientific papers https://github.com/neuml/paperetl #machinelearning #ai #nlp #datascience #opensource #python #javascript #java #rustlang #golang https://t.co/sG7C6paARD

@genericgranola 2 years ago

Must Read NeurIPS papers on Medical Imaging https://monochelsea12.medium.com/must-read-neurips-papers-on-medical-imaging-cefdcb8b5f83 #AI #MachineLearning #DataScience #ArtificialIntelligence Trending AI/ML Article Identified & Digested via Granola; a Machine-Driven RSS Bot by Ramsey Elbasheer https://t.co/W5XDDukgJz

@ipfconline1 2 years ago

Analyzing #COVID19 Medical Papers with Azure #MachineLearning and Text Analytics for Health https://opendatascience.com/analyzing-covid-medical-papers-with-azure-machine-learning-and-text-analytics-for-health/ v/ @odsc #NLP #AI #100DaysOfCode #HealthTech #CES2022 Cc @DeepLearn007 @sandy_carter @simonlporter @VanRijmenam @schmarzo @KirkDBorne @Paula_Piccard https://t.co/3VJEjSUVpX

@ipfconline1 2 years ago

Analyzing #COVID19 Medical Papers with Azure #MachineLearning and Text Analytics for Health https://opendatascience.com/analyzing-covid-medical-papers-with-azure-machine-learning-and-text-analytics-for-health/ v/ @odsc #NLP #AI #100DaysOfCode #HealthTech Cc @DeepLearn007 @sandy_carter @simonlporter @VanRijmenam @schmarzo @KirkDBorne @Paula_Piccard @pierrepinna @ahier https://t.co/nDH4X30zXC

@ipfconline1 2 years ago

Analyzing #COVID19 Medical Papers with Azure #MachineLearning and Text Analytics for Health https://opendatascience.com/analyzing-covid-medical-papers-with-azure-machine-learning-and-text-analytics-for-health/ v/ @odsc #NLP #AI #100DaysOfCode #HealthTech Cc @DeepLearn007 @sandy_carter @simonlporter @VanRijmenam @schmarzo @KirkDBorne @Paula_Piccard @pierrepinna @ahier https://t.co/ZtBPsyL1pg

@moorejh 2 years ago

Serious question: Are there enough AI experts to review all of the medical & clinical AI papers being submitted for publication? #informatics #machinelearning #artificialintelligence #bioinformatics

@gp_pulipaka 3 years ago

COVID Medical Papers with #Azure and #NLProc for #HealthTech. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://bit.ly/3ti51GA https://t.co/nLch6fkkmg

@miguearmengol 3 years ago

We are inviting papers exploring ways to reduce #MachineLearning bias in healthcare or create algorithms that specifically alleviate inequalities. Publish your research in the British Medical Journal Health and Care Informatics. #FairnessMedicalML https://twitter.com/MITCriticalData/status/1323337994519064578

@ipfconline1 3 years ago

Researchers examine uncertainty in medical #AI papers going back a decade https://buff.ly/2Elmiuu @Kyle_L_Wiggers v/ @VentureBeat #AI #MachineLearning #BigData #HealthTech Cc @terence_mills @andi_staub @KirkDBorne @DeepLearn007 @ahier @IrmaRaste @guzmannutrition https://t.co/ClTRQCKzaA

@oxengsci 3 years ago

Dr Tingting Zhu's research on automated labelling of biomedical data is one of best papers of 2019 in Sensor, Signal & Imaging Informatics category @IMIAtweets Yearbook of Medical Informatics https://eng.ox.ac.uk/news/dr-tingting-zhu-awarded-one-of-the-best-research-articles-published-in-2019/ #healthcare #machinelearning #biomedicalengineering @WIEOxford https://t.co/QRC21nWJpZ

@ipfconline1 3 years ago

@FOAMecmo 4 years ago

Medical errors common before cardiac arrest on wards mostly diagnosis delay (Hodgetts 2002) some #IHCA get #ICU late increasing morbidity/mortality may #AI #DataScience identify high-risk pts? check @CritCareMed papers #FOAMcc Churpek M #ESICMdata20 @ESICM #MachineLearning https://t.co/k9OmyqKJ0t

@raamana_ 4 years ago

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!

@Rosenchild 4 years ago

I read a ton of #Research Papers, #Articles, #Books, etc., that includes topics on: #Healthcare #Medicine #HealthIT #HealthTech #MedTech #mHealth #ArtificialIntelligence #MachineLearning #DeepLearning #BigData #CloudComputing #EdgeComputing #OpenSource #Software AND MORE https://t.co/hIFK6HW4O0

@raamana_ 5 years ago

Random tip: if a PI publishes over 25 papers/year (more than 2 papers/month), in a heavily data- and optimization-driven research e.g. #MachineLearning in medicine, without releasing their codebase or using public libraries, be HIGHLY skeptical about their results. #phdchat

@kdnuggets 5 years ago

state-of-the-art in #AI, #MachineLearning - 530 leaderboards • 974 tasks • 712 datasets • 9205 papers with code - Computer Vision - Natural Language Processing - Medical - Speech and more https://buff.ly/2RxMgev

@EffyVayena 5 years ago

Check out new papers on #MachineLearning in #medicine and #healthcare including ⁦our perspective with ⁦@CohenProf⁩ @a_blasimme “Machine learning in medicine: Addressing ethical challenges” ⁦@PLOSMedicine⁩ ⁦@ETH_en⁩ ⁦⁦ #aiethics https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002689