Medical Technology

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@techcrunch.com 4 months ago

Google unveils MedLM, a family of healthcare-focused generative AI models

@cointelegraph.com 4 months ago

AstraZeneca partners with AI company to find cure for cancer

@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

@Radiology_AI 11 months ago

#AI model for 3D segmentation of rotator cuff muscles and corresponding intramuscular fat https://doi.org/10.1148/ryai.220132 @BrookeArmyMed @MedicineUVA #MSKRad #ML #MachineLearning https://t.co/dQAYmlJEVV

@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

@Radiology_AI 12 months ago

#AI model for 3D segmentation of rotator cuff muscles and corresponding intramuscular fat https://doi.org/10.1148/ryai.220132 @BrookeArmyMed @MedicineUVA #ML #MachineLearning https://t.co/oNMCGLErOr

@medical_xpress 1 year ago

Optimizing sepsis treatment timing with a #machinelearning model @OhioState @NatMachIntell https://medicalxpress.com/news/2023-04-optimizing-sepsis-treatment-machine.html

@Radiology_AI 1 year ago

#AI model for 3D segmentation of rotator cuff muscles and corresponding intramuscular fat https://doi.org/10.1148/ryai.220132 @BrookeArmyMed @MedicineUVA #DeepLearning #RotatorCuff #MachineLearning https://t.co/zDjQ4xANb8

@Radiology_AI 1 year ago

#AI model for 3D segmentation of rotator cuff muscles and corresponding intramuscular fat https://doi.org/10.1148/ryai.220132 @BrookeArmyMed @MedicineUVA #RotatorCuff #ML #MachineLearning https://t.co/4151Kb3NCk

@engadget.com 1 year ago

Eargo 7: The tiny hearing aids you won't need to take out to shower

@murrayfold 1 year ago

Immensely proud of our latest paper. It's definitely not just your standard "scientist builds ML model and claims it's brilliant" paper. @EPSRC_CMAC @ArticularEpsrc #medicinesmanufacturing #MachineLearning #AI https://doi.org/10.1039/D2DD00024E

@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

@theverge.com 1 year ago

Google will soon translate your doctor’s terrible handwriting

@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

@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

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

@cnet.com 1 year ago

Instacart Launches New Business Model to Make Healthy Foods More Accessible - CNET

@bigmlcom 1 year ago

Using #MachineLearning to identify undiagnosable #cancers -- a new model that maps developmental pathways to tumor cells may unlock the identity of cancers of unknown primary. #Heathcare #MedicalDiagnosis https://news.mit.edu/2022/using-machine-learning-identify-undiagnosable-cancers-0901 https://t.co/4ptktVOHTg

@medical_xpress 1 year ago

#Suicide vulnerability index, #machinelearning model help predict counties' risk @penn_state https://doi.org/gqd8f8 https://medicalxpress.com/news/2022-06-suicide-vulnerability-index-machine-counties.html

@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

@sonu_monika 2 years ago

From #AI model to #medicaldevice:Why #algorithm is only fraction of work https://www.aidence.com/articles/ai-algorithm_to_medical_device/?cn-reloaded=1 #healthcare #DataScience #Python #Analytics #Data #flutter #Serverless #neuralnetwork #NLP #digitalhealth #Blockchain #datasets #health #BigData #Rstats #IoT #Artificial_Intelligence https://t.co/mNv0g69rlM

@NeuyAi 2 years ago

Today our newest #Medical #AI model is ready for testing. This one covers rosacea, eczema, and basal cell carinoma. This now brings our dermatology models to 4. #data #ArtificialIntelligence #MachineLearning #datasciencejobs #Cancer #skincare #NEUYAI #NEUYVision #CancerResearch https://t.co/WAxh9qjS30

@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

@globaliqx 2 years ago

New #MachineLearning model could speed up the process of developing new medicines https://buff.ly/3Hp2MIy #AI #eHealth #IoT #DigitalTransformation #DeepLearning @JoannMoretti @PawlowskiMario @CurieuxExplorer @MargaretSiegien https://t.co/RiRllSfmzB

@freddytn 2 years ago

#ArtificialIntelligence system rapidly predicts how 2 proteins attach #MachineLearning model could help scientists speed dev of new meds & directly predict complex that will form 80-500X faster #health #medicine #biotech @MIT @MIT_CSAIL @AIHealthMIT https://news.mit.edu/2022/ai-predicts-protein-docking-0201

@marcusborba 2 years ago

#ArtificialIntelligence system rapidly predicts how two proteins will attach The #machinelearning model could help scientists speed the development of new medicines https://news.mit.edu/2022/ai-predicts-protein-docking-0201 @MIT #AI #DataScience #BigData #Analytics #womenwhocode #DeepLearning #100DaysofCode

@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

@techcrunch.com 2 years ago

Babyscripts secures $12M to roll out its virtual maternity care model

@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

@NeurasysR 2 years ago

Deep learning model that can determine the level of dementia of a patient with Alzheimer's disease based on their MRI image. Project: https://github.com/NeurasysResearch/Alzheimer-MRI-Model- #DataScience #data #MachineLearning #open #Science #Python #100DaysOfCode #radiology #MRI #Medical #AI #Alzheimer https://t.co/M6lmEyI68L

@AkinleyeJoshua9 2 years ago

Yes, Location of the brain Tumor can be detected in real-time in a functional Magnetic Resonance Imagery, though the model isn't deployed yet #100DaysOfCode #MachineLearning #Python #JavaScriptDeveloper #medicine @google #neuroscience @TFBestPractices #DataScience #Neurology https://t.co/QSxgUWzP9z

@techhive.com 2 years ago

Audeze debuts its CRBN electrostatic headphone

@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

@slashgear.com 2 years ago

Traumatic brain injury computer model maps brain blood vessels