Medical Technology

@medical_xpress 10 months ago

Scientists use #machinelearning to 'see' how the #brain adapts to different environments @naturemethods https://doi.org/gsbfgf https://medicalxpress.com/news/2023-06-scientists-machine-brain-environments.html

@S_LeClainche 10 months ago

Interested in #MachineLearning and #DataScience? ModelFLOWs-app is our #opensource #Software where you can find #Python codes for different #applications (fluid dynamics, non-linear systems, #Engineering, #medicine,...). Download in: https://modelflows.github.io/modelflowsapp/

@TysonLester 1 year ago

Via @MedicalExpoEMag: "Trust & #ArtificialIntelligence in Healthcare." http://emag.medicalexpo.com/trust-and-artificial-intelligence-in-healthcare/ 3 different categories of trust: -Technical trust -Human trust -Regulatory trust #AI— poised to change #healthcare in monumental ways. #BigData #IoT #InternetOfThings #MachineLearning

@ResearchGermany 1 year ago

Same symptom – different cause? Algorithms help to distinguish diseases at the molecular level 🩺 Read more here http://ow.ly/Qa0O50JkC6a @TU_Muenchen #MachineLearning #Biomedicine #MedicalTech

@medical_xpress 1 year ago

Using #machinelearning to derive different causes from the same symptoms @TU_Muenchen @PNASNews https://doi.org/gp72pg https://medicalxpress.com/news/2022-05-machine-derive-symptoms.html

@TysonLester 1 year ago

@medical_xpress 2 years ago

New #machinelearning tool can discover immune receptors that react to many different antigens @NatMachIntell https://medicalxpress.com/news/2022-01-machine-tool-immune-receptors-react.html

@TysonLester 2 years ago

Via @MedicalExpoEMag: "Trust and #ArtificialIntelligence in Healthcare." http://emag.medicalexpo.com/trust-and-artificial-intelligence-in-healthcare/ 3 different categories of trust to be addressed: -Technical trust -Human trust -Regulatory trust #AI is poised to change #healthcare in monumental ways. #BigData #MachineLearning

@TysonLester 3 years ago

@HPDSLab 3 years ago

We have a tool that does just this (extracting data and assembling it) for several different problems in medicine. Would love to get journal suggestions for receptive outlets. #MedTwitter #EpiTwitter #MachineLearning https://twitter.com/jonathanstray/status/1314633513832914944

@billrand 3 years ago

I firmly believe that AI will revolutionize medicine, but right now many algorithms haven't been tested on different pieces of equipment or with different groups of patients. #ai #MachineLearning #medicine #validation https://science.sciencemag.org/content/364/6446/1119

@hcg_md 3 years ago

Google’s medical AI was super accurate in the lab setting. Real life was a different story. #AI #MachineLearning https://www.technologyreview.com/2020/04/27/1000658/google-medical-ai-accurate-lab-real-life-clinic-covid-diabetes-retina-disease/

@THonkela 5 years ago

We people are different in many ways and it is very important to take that carefully into account in medicine, education, society etc. #MachineLearning #PeaceMachine #fairness #humanity https://twitter.com/andrewyng/status/1105991812555014144