Medical Technology

@zdnet.com 5 months ago

Can ChatGPT predict the future? Training AI to figure out what happens next

@Radiology_AI 10 months ago

Differences in data distribution may affect federated #DeepLearning model performance in medical image segmentation https://doi.org/10.1148/ryai.220082 @ND_CSE @hku_science @ZJU_China #FederatedLearning #AI #MachineLearning #AIME23 #AIME2023 https://t.co/Sg0Y2jheGy

@Radiology_AI 1 year ago

A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning https://t.co/924nXgpWwb

@Radiology_AI 1 year ago

A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformers #ML #MachineLearning https://t.co/Yjh54EzRFg

@Radiology_AI 1 year ago

A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/cfC4OrFxC0

@Radiology_AI 1 year ago

A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/t0Vza8lPaU

@gretel_ai 2 years ago

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

@Michael_D_Moor 2 years ago

Preprint alert! Interested in #MachineLearning in #medicine and #sepsis? We developed and validated a #DeepLearning model for predicting sepsis across 5 ICU databases from 3 countries featuring 156k ICU stays and 783 patient years worth of monitoring data. A 🧵. 1/n https://t.co/4RL3UaXYIY

@_Sivasai 3 years ago

Development of #MachineLearning Model Using #EHR Data 2 Identify #Antibiotics Use Among #Hospitalized #patients @rebsmoe @GermsAndNumbers @Deverick_A #MedTwitterAI #ML #ArtificialIntelligence #DHPSP #MedTwitter #MedTwitterAI #data #scicomm #MedTech #Medical #MedEd #AI #bigdata https://twitter.com/alvie_barr/status/1376917871125757953

@Abhishek4273 3 years ago

Tried training an image segmentation model on PanNuke dataset, an Open Pan-Cancer Histology Dataset - https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo (Ex 51) Data - https://jgamper.github.io/PanNukeDataset/ #100DaysOfCode #100DaysOfMLCode #301DaysOfCode #MachineLearning #Python #git #medical #Cancer #opensource #AI https://t.co/rFQ5JcvZjt

@engadget.com 3 years ago

Intel and Penn Medicine are developing an AI to spot brain tumors

@techcrunch.com 4 years ago

Apple, Microsoft and Google to test new standard for patient access to digital health data

@zdnet.com 4 years ago

Medicare for All faces big data, privacy, technology hurdles, says CBO

@EdwardTufte 5 years ago

If use of every statistical model was accompanied warnings similar to those accompanying every prescription drug. In medical research, mistakes in data analysis can shorten 1000s of lives. #biostatistics #statistics #datascience https://t.co/GhLltkd3NG

@engadget.com 5 years ago

You'll soon be able to get a 3D printed model of your brain

@Primary_Immune 6 years ago

A Model for Rare Medical Research: Patient/Researcher Collaboration, #OpenScience, Data-Sharing & Mining, #Genomics and #SocialMedia | https://www.the-scientist.com/?articles.view/articleNo/51148/title/Researchers-Team-Up-with-Patients-to-Build-a-Breast-Cancer-Database/ #ITRTG #IoT #RareDisease #BreastCancer #cancer #SNRTG #BigData #genetics #science @corrie_painter @broadinstitute https://t.co/xZSI10MD3e