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
AI is already being used in healthcare. But not all of it is ‘medical grade’ #AI #AIHealth #ML #Machinelearning #deeplearning #healthcare https://theconversation.com/ai-is-already-being-used-in-healthcare-but-not-all-of-it-is-medical-grade-207912
How does AI "see" the disease? What are the requirements of advanced #MachineLearning use cases in #healthcare sector? https://buff.ly/3HNAOcG Here's how @ReasonFieldLab used #DeepLearning in development of better solutions to aid detecting cancer cells in medical images. https://t.co/oYVZM9DdXs
This short #Python code is used for calculating the efficacy of #biologic medicines using t-tests This can be a powerful tool for comparing the effectiveness of different biologics in treating various conditions #datascience #biologics #ttests https://t.co/SSlbk4RNG6
How does AI "see" the disease? What are the requirements of advanced #MachineLearning use cases in #healthcare sector? https://buff.ly/3HNAOcG Here's how we used #DeepLearning in development of better solutions to aid detecting cancer cells in medical images. https://t.co/WonSG1W5Z0
How can CERN #machinelearning algorithms be used in #healthcare? Medical Applications Officer Alessandro Raimondo reveals the answer in this article from #CERNKT. #Medtech #ArtificialIntelligence http://knowledgetransfer.web.cern.ch/news/news/knowledge-sharing/unlocking-ais-true-potential-healthcare-requires-collaboration
Day 8 of #365DaysOfML Artificial neural networks are used in image recognition, speech recognition, machine translation, and medical diagnosis. #Datascience #MachineLearning #100DaysOfCode https://t.co/R6hWYdR2HK
#ClinicalDecisionSupport at the point of care benefits patients and clinicians alike. Hear from @flatironhealth Medical director @aaronbcohen, on how #machinelearning can be used as a tool to support decision making for clinicians. https://t.co/A0j0aajLQ2
We have launched 2⃣ major public consultations aiming to improve quality of data used in medicine regulation: for an EU data quality framework, and for the first guide on EU real-world #metadata #DataScience https://www.ema.europa.eu/en/news/high-quality-data-empower-data-driven-medicines-regulation-european-union https://t.co/sdTpNKxEqR
Testing for monkeypox is crucial because a positive result is needed for accessing TPOXX, an antiviral medication that is being used to treat it. But not everyone who needs a test is getting one due to a slow ramp-up and a ponderous process: https://wired.trib.al/DGvfTSE : Getty https://t.co/M5HQl42kMk
A new study that used Gretel’s synthetic data API to augment a limited EEG dataset improved its ML model accuracy by an average of 14%. Exciting to see #syntheticdata supporting medical research. https://loom.ly/3p9wJx0 #datascience #developers https://t.co/95H1rezTis