Meet an AMAZING group of physicians + scientists... the newest members of the Radiology: Artificial Intelligence Trainee Editorial Board! pubs.rsna.org/page/ai/blog/2… RSNA

Radiology images for radiology #AI models -- improving transfer learning doi.org/10.1148/ryai.2… twdeyer East River Imaging zahifayad #TransferLearning #ML #MachineLearning

What's new in radiology #AI? Check out our most recent articles! pubs.rsna.org/journal/ai #ML #MachineLearning #Radiomics

The September issue of Radiology: Artificial Intelligence is now online! pubs.rsna.org/toc/ai/4/5 #Radiomics #AI #MachineLearning

#ThermalAblation planning with contrast-enhanced CT (vs. native CT) for CLM was associated with reduced risk of residual unablated tumor. Long term outcomes did not improve. #AblationConfirmation will be key moving forward! @BC_Odisio Kristy Brock rdcu.be/c23nh

The January issue of Radiology: Artificial Intelligence is now online! bit.ly/NewRadAI Radiology: Artificial Intelligence #RSNAI

A new episode of the Radiology: Artificial Intelligence podcast is now available! Co-hosts @AliTejaniMD and Paul Yi speak with Merel Huisman MD PhD, John Mayfield, M.D., Ph.D., M.Sc., and Iwan Paolucci about their Radiology AI: Trainee Editorial Board experiences.  rsnaradiologyai.libsyn.com/episode-26-tra…

Learn about U.S. FDA's guiding principles for development + deployment of #MachineLearning systems pubs.rsna.org/page/ai/blog/2… @iwanpaolucciI #ML #GMLP #DeepLearning

Ablative margin quantified using biomechanical deformable CT image registration with autosegmentation was strongly associated and spatially localized with local disease progression after colorectal liver metastasis ablation. @BC_Odisio MD Anderson Cancer Center bit.ly/3Y8Rosr

Are you in training in #radiology or an #AI-related field? Apply today for the Radiology: Artificial Intelligence Trainee Editorial Board! rsna.org/education/trai… Judy Gichoya Merel Huisman MD PhD Jeff Rudie, MD PhD #HITrad #DataScience #ML

We are very pleased to announce Radiology: Artificial Intelligence's 2022 Impact Factor... 🌟 9.8 🌟 Sincere thanks to our authors, reviewers, editorial board, and RSNA Publications staff!

📣Updating the CLAIM guideline for reporting #AI in medical imaging #CLAIM helps authors, reviewers + readers of #MachineLearning papers assure the highest quality of science in medical imaging rdcu.be/dlRPQ

Check it out! An evaluation of Bayesian parametric survival models with respect to performance, over-fitting, and re-training with new datasets. Source code is publicly available as Python package with scikit-learn API. #Bayesian #AI #DataScience rdcu.be/dqeUC

Looking for a study design for an AI algorithm in a Radiology application? A Bayesian design with frequent interim analysis might be useful. #AI #trialdesign pubs.rsna.org/page/ai/blog/2…

Proof of concept of using robotics to dynamically shape ablation zones along a trajectory. #ThermalAblation #Robotics #IO rdcu.be/dqrS2

Read now in CVIR 📖 Study Protocol STEREOLAB: Stereotactic Liver Ablation Assisted with Intra-Arterial CT Hepatic #Arteriography and #Ablation Confirmation Software Assessment link.springer.com/article/10.100… @BC_Odisio

Four international #radiology societies join RSNA to endorse a Special Report on #AI doi.org/10.1148/ryai.2…

The Radiology: Artificial Intelligence Trainee Editorial Board members are amazingly talented, and I've been very fortunate to work with them! The journal invites radiology residents and #AI trainees to apply now for 2024-2026 #RadRes #postdoc