@techcrunch.com 4 months ago
Google unveils MedLM, a family of healthcare-focused generative AI models
@zdnet.com 5 months ago
Can ChatGPT predict the future? Training AI to figure out what happens next
@theregister.com 7 months ago
Chan Zuckerberg org to spin up 1,000+ H100 GPU cluster for AI medical research
@engadget.com 9 months ago
Google is testing its medical AI chatbot at the Mayo Clinic
@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
@Marktechpost 11 months ago
1/ Finetuning LLaMA on Medical Papers: Meet PMC-LLaMA-A Model that Achieves High Performance on Biomedical QA Benchmarks Quick Read: https://www.marktechpost.com/2023/05/04/finetuning-llama-on-medical-papers-meet-pmc-llama-a-model-that-achieves-high-performance-on-biomedical-qa-benchmarks/ #ArtificialIntelligence #DataScience
@engadget.com 1 year ago
Eargo 7: The tiny hearing aids you won't need to take out to shower
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #ML #MachineLearning https://t.co/y3sZ38NIZ7
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/zkCddWgOZR
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #AI #MachineLearning https://t.co/SlT3r4lHqe
@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 #BERT #DeepLearning #MachineLearning https://t.co/DVl9XtgTBI
@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 #ML #MachineLearning https://t.co/d4DFnYAKqL
@theverge.com 1 year ago
Google partners with med tech company to develop AI breast cancer screening tools
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #AI #ML #MachineLearning https://t.co/ij1qLOqOrw
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformers #AI #MachineLearning https://t.co/68vIIKCDag
@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 #ML #MachineLearning https://t.co/xAASWKqFag
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning #AMIA2022 https://t.co/LvndChK6Cw
@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
@woojinrad 1 year ago
AI for medical imaging must be monitored for bias. Monitoring for bias will become more and more essential, just as monitoring for drift and #MachineLearning model decay. https://buff.ly/3VcUMBE @AuntMinnie #ImagingAI #AI #AIbias #ImagingInformatics https://t.co/d9SMbVuTWq
@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
@yuanhypnosluo 2 years ago
Congratulations to @Mochersonmao, a talented faculty from Luo Lab at @NUFeinbergMed, on the new article in @JBI_Journal! MedGCN extends the general #GCN model to heterogeneous graphs and missing feature values in medical settings. #DeepLearning #MachineLearning https://twitter.com/JBI_Journal/status/1489645363447439365
@JordanJasuta 2 years ago
Looking forward to sharing a hybrid medical #nlp model at the R|gov conference on #AI in #government Dec 9! Tickets available at https://rstats.ai/gov/ @rstatsai @rstatsdc #rstats #rstatsgov (my model actually uses #python - but it's still #MachineLearning !) https://twitter.com/rstatsai/status/1466136832727564295
@rfunctionaday 2 years ago
Cox regression model is widely used in medical research to assess the effect of several risk factors on survival time of patients. The {ggcoxdiagnostics} function from {survminer} can help visually assess goodness of model fit 🧐 https://rpkgs.datanovia.com/survminer/reference/ggcoxdiagnostics.html #rstats #DataScience https://t.co/3z6D7FQgL9
@techhive.com 2 years ago
Audeze debuts its CRBN electrostatic headphone
@maxkelsen 2 years ago
Our Research Lab has developed a #machinelearning model that can rapidly diagnose glaucoma based off medical images, with an error rate less than half that of human doctors. #AI #glaucoma #MedTech #DigitalHealth https://www.brisbanetimes.com.au/national/queensland/ai-trained-to-spot-disease-that-sends-people-blind-20210706-p587ca.html
@yourICM 3 years ago
5 key principles that should be remembered for smart use of #ArtificialIntelligence as adoption of #MachineLearning systems becomes more widespread in medical imaging: ➡️knowledge base ➡️metrics ➡️bias ➡️model fragility ➡️error-prone behavior #DataScience https://rdcu.be/cdI0d https://t.co/OvNVtwfl94
@tech.eu 3 years ago
Polish mobile clinic startup Jutro Medical collects €1.4 million in pre-seed funding
@PGCgenetics 3 years ago
Predicting the likelihood of future #psychiatricdisorders based on training a #MachineLearning #ML #AI model using a handful of genetic variants is unsound science, and likely to lead to medical discrimination. Thread 1/9. Preprint: https://bit.ly/2GSjiq6
@DrLukeOR 3 years ago
"The medical #AI floodgates open, at a cost of $1000 per patient." My new blog post on the unexpected, important, and controversial decision for Medicare in the US to pay up to $1000 per case for a #machinelearning model to detect stroke on CT scans. https://lukeoakdenrayner.wordpress.com/2020/09/06/the-medical-ai-floodgates-open-at-a-cost-of-1000-per-patient/ https://t.co/byxRVZzXLD
@KirkDBorne 3 years ago
.@DeptVetAffairs tests #AI ‘to-go’ delivery model to assist its medical centers during #pandemic — using embeddable AI modules that efficiently integrate across different systems: https://dy.si/5oTQh —— #HealthTech #BigData #DataScience #MachineLearning #DigitalTransformation https://t.co/shzIeiS0ep
@YaleRadiology 4 years ago
Another honor for our Interventional Oncology Lab: #medstudent Nathan Chai has received the #RSNA Research Medical Student Grant! Nathan will develop a #MachineLearning model to predict HCC recurrence. Congrats Nathan & team! #futuredoctor @YaleMed @RSNA @dcmadoff @JuliusChapiro https://t.co/UyqV1qryjW
@gp_pulipaka 4 years ago
#DeepLearning and Medical Imaging — Interpret What The Model Sees? #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #HealthTech http://bit.ly/2PEZCYe https://t.co/6vSuzvxjnW
@zdnet.com 4 years ago
AWS adds ontology linking to Comprehend Medical natural language processing service
@wired.com 4 years ago
A Model Hospital Where the Devices Get Hacked—on Purpose
@venturebeat.com 5 years ago
Harvard Medical School’s AI estimates protein structures up to 7 times faster than previous methods
@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
@techcrunch.com 8 years ago
Whill receives FDA approval for the Model M, its new mobility device
@thenextweb.com 8 years ago
Can this startup take the One Medical model to teeth?
@techcrunch.com 8 years ago
With Reid Hoffman’s Backing, Development Economists Build Segovia, A Startup That Tackles Poverty