Medical Technology

@Radiology_AI 1 year ago

The Role of Federated Learning Models in Medical Imaging https://doi.org/10.1148/ryai.230136 @Hopkins_Rad #DeepLearning #MachineLearning #LiverTumor https://t.co/cXZ9eb7XAZ

@Radiology_AI 1 year ago

Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer Networks https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformer #DeepLearning #MachineLearning https://t.co/vkN17E7Iso

@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 #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

@Radiology_AI 1 year ago

#AI models trained on radiology images offer a better starting point for transfer learning in medical imaging https://doi.org/10.1148/ryai.210315 @zahifayad @BMEIIsinai @IcahnMountSinai #DeepLearning #ML #MachineLearning https://t.co/0BxL3KvLfG

@ricardovinuesa 2 years ago

In my latest piece published in @YuanCommunity, I discuss the importance of #Interpretability in #DeepLearning models, particularly in the context of #Medical applications. We need to open the #BlackBox! More info: https://www.nature.com/articles/s42256-021-00414-y #SDGs #MachineLearning #AI #Interpretable https://twitter.com/YuanCommunity/status/1495952256533168128

@MonicaTincopa 3 years ago

Application of #MachineLearning models continue to show real promise in clinical medicine. #DeepLearning recurrent neural network models outperformed traditional linear regression models to identify patients with #HCV at high risk of developing #HCC. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2770062?guestAccessKey=62adc2c2-bf09-495e-a501-1a20d52bf098&utm_source=jps&utm_medium=email&utm_campaign=author_alert-jamanetwork&utm_content=author-author_engagement&utm_term=1m https://t.co/vWqofKqqBi

@ulmdesign 3 years ago

Building models for heart disease prediction using #MachineLearning techniques - #opensource > https://github.com/rtflynn/Heart-Disease-Model | #Python #DeepLearning #scikitlearn #keras #kaggle #heart #disease #medical #clinical #research #CSV #DataScience #NeuralNetwork https://t.co/gR0G2YG9pL

@davorjord 4 years ago

3D Models Of Living Human Cells Made With #ArtificialIntelligence Could Help Revolutionize Cancer Treatment #AI #ML #DL #MachineLearning #DeepLearning #ComputerVisison #Medicine #Healtcare #video https://t.co/E2GKZXKVQr