Technical feasibility demonstration shows homomorphic encryption can achieve comparable diagnostic accuracy to nonencrypted models https://doi.org/10.1148/ryai.250682 #SABI2025 #AbdRad #radiology

Accurate and efficient segmentation of the #dentate nucleus from brain quantitative susceptibility mapping images https://doi.org/10.1148/ryai.240478#dentate #SABI2025 #AbdRad #radiology

#CoRaX demonstrated potential to aid radiologists in detecting abnormalities on CXRs by identifying & correcting perceptual errors https://doi.org/10.1148/ryai.240277#CoRaX@uh.edu #BCB2025 #informatics #AI #ACMBCB

Multicenter Validation of Automated Segmentation and Composition Analysis of Lumbar Paraspinal Muscles Using Multisequence MRI https://doi.org/10.1148/ryai.240833 @griffith.edu.au‬ #SABI2025 #AbdRad #radiology

A #DeepLearning pharmacokinetic parametric mapping method for early pCR prediction using multiphasic DCE-MRI https://doi.org/10.1148/ryai.240769#DeepLearning #SABI2025 #AbdRad #radiology

Homomorphic encryption for CT-based renal #disease classification https://doi.org/10.1148/ryai.240798#disease #ESMRMB25 #MRI #radiology

Homomorphic encryption can be integrated into #DeepLearning for CT-based renal mass classification without loss of accuracy https://doi.org/10.1148/ryai.250682#DeepLearning #ESMRMB25 #MRI #radiology

Accurate and efficient segmentation of the #dentate nucleus from brain quantitative susceptibility mapping images https://doi.org/10.1148/ryai.240478#dentate #ESMRMB25 #MRI #radiology

Single Inspiratory Chest CT-based Generative Deep Learning Models to Evaluate Functional Small Airway Disease https://doi.org/10.1148/ryai.240680 #ESMRMB25 #MRI #radiology

Data Resources articles describe important datasets, algorithms, and standards made available to the #AI community https://pubs.rsna.org/page/ai/data_resources#AI#ML #DeepLearning #ArtificialIntelligence

MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI https://doi.org/10.1148/ryai.240373 @cem.bsky.social @cai2r.net #ESMRMB25 #MRI #radiology

#AI system that integrates eye gaze data & #radiology reports to improve diagnostic accuracy in #ChestXray interpretation https://doi.org/10.1148/ryai.240277#AI#radiology#ChestXrayh.edu #BCB2025 #informatics #AI #ACMBCB

Privacy-preserving deep learning inference using homomorphic encryption for renal mass classification on CTs https://doi.org/10.1148/ryai.240798 #ESMRMB25 #MRI #radiology

Technical feasibility demonstration shows homomorphic encryption can achieve comparable diagnostic accuracy to nonencrypted models https://doi.org/10.1148/ryai.250682 #ESMRMB25 #MRI #radiology

#DeepLearning model using a two-step localization & segmentation pipeline segmented the dentate nucleus using quantitative susceptibility mapping images https://doi.org/10.1148/ryai.240478#DeepLearning #ESMRMB25 #MRI #radiology

Generative model, using a single inspiratory CT, outperformed existing algorithms in parametric response map evaluation https://doi.org/10.1148/ryai.240680 #LungDisease #ChestRad #DeepLearning

Check out today's #FreeFriday @radiology-ai.bsky.social article from #PubMedCentral! Challenges of Implementing Artificial Intelligence–enabled Programs in the Clinical Practice of Radiology https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11427920#FreeFriday#PubMedCentral!#8211;enabled#ML #MachineLearning #ArtificialIntelligence

More accurate & consistent pCR predictions after neoadjuvant chemotherapy in patients with breast cancer https://doi.org/10.1148/ryai.240769 #ESMRMB25 #MRI #radiology

Federated learning framework across multiple clients for #MRI prostate cancer detection https://doi.org/10.1148/ryai.240485#MRI@rug.nl @nkinl.bsky.social #ESMRMB25 #MRI #radiology

Development of Privacy-preserving #DeepLearning Model with Homomorphic Encryption: A Technical Feasibility Study in Kidney CT Imaging https://doi.org/10.1148/ryai.240798#DeepLearning #ASER2025 #EMRad #radiology

Privacy-preserving Deep Learning in Medical Imaging: Feasibility and Challenges https://doi.org/10.1148/ryai.250682 #ASER2025 #EMRad #radiology

Dentate nucleus segmentation tool using #DeepLearning applied to brain MRI-based quantitative susceptibility mapping images https://doi.org/10.1148/ryai.240478#DeepLearning #ESMRMB25 #MRI #radiology

Generative model, using a single inspiratory CT, outperformed existing algorithms in parametric response map evaluation https://doi.org/10.1148/ryai.240680 #ASER2025 #EMRad #radiology

#ThrowbackThursday – System for extracting structured clinical information from unstructured rad & path reports using #LLMs with retrieval-augmented generation (Apr 2025) https://doi.org/10.1148/ryai.240551#ThrowbackThursday#LLMs#AI #DeepLearning #Radiomics

CoRaX #AI system helps radiologists detect abnormalities on chest radiographs https://doi.org/10.1148/ryai.240277#AI@uh.edu #ASER2025 #EMRad #radiology

A #DeepLearning pharmacokinetic parametric mapping method for early pCR prediction using multiphasic DCE-MRI https://doi.org/10.1148/ryai.240769#DeepLearning #ESMRMB25 #MRI #radiology

Development of Privacy-preserving #DeepLearning Model with Homomorphic Encryption: A Technical Feasibility Study in Kidney CT Imaging https://doi.org/10.1148/ryai.240798#DeepLearning #ASER2025 #EMRad #radiology

Technical feasibility demonstration shows homomorphic encryption can achieve comparable diagnostic accuracy to nonencrypted models https://doi.org/10.1148/ryai.250682 #ASER2025 #EMRad #radiology

Accurate and efficient segmentation of the #dentate nucleus from brain quantitative susceptibility mapping images https://doi.org/10.1148/ryai.240478#dentate #ESMRMB25 #MRI #radiology

Generative #AI method reduces radiation dose & produces parametric response map parameters using only inspiratory-phase CT https://doi.org/10.1148/ryai.240680#AI #ASER2025 #EMRad #radiology

Let’s Agree to Be Wrong: Transforming Alzheimer Disease Diagnosis https://doi.org/10.1148/ryai.250686 #ESMRMB25 #MRI #radiology

#CoRaX demonstrated potential to aid radiologists in detecting abnormalities on CXRs by identifying & correcting perceptual errors https://doi.org/10.1148/ryai.240277#CoRaX@uh.edu #ASER2025 #EMRad #radiology

#DeepLearning automated lumbar paraspinal muscle segmentation, muscle volume quantification, & fatty infiltration assessment on #MRI https://doi.org/10.1148/ryai.240833#DeepLearning#MRIgriffith.edu.au‬ #ASER2025 #EMRad #radiology

Rigor vs. transparency in @US_FDA marketing authorization of AI-enabled #MedicalDevices https://doi.org/10.1148/ryai.250369#MedicalDevices@danafarber.bsky.social @fda.gov #ASER2025 #EMRad #radiology

Generative #AI model predicted functional small airway disease (sensitivity 86.3%; AUC 0.86) https://doi.org/10.1148/ryai.240680#AI #ASER2025 #EMRad #radiology

Meet the people leading the science and use of #AI in radiology! Check out our #podcast series on Apple Podcasts, Google Play, or Spotify https://rsnaradiologyai.libsyn.com/#AI#podcast#MachineLearning #DeepLearning #Radiomics

Let’s Agree to Be Wrong: Transforming Alzheimer Disease Diagnosis https://doi.org/10.1148/ryai.250686 #ASER2025 #EMRad #radiology

Fine-tuning federated learning improves #ProstateCancer detection https://doi.org/10.1148/ryai.240485#ProstateCancer@rug.nl @nkinl.bsky.social #ASER2025 #EMRad #radiology

CoRaX #AI system helps radiologists detect abnormalities on chest radiographs https://doi.org/10.1148/ryai.240277#AI@uh.edu #ASER2025 #EMRad #radiology

A milestone in the evolution of medical imaging AI from specialists to generalists https://doi.org/10.1148/ryai.250624 #ASER2025 #EMRad #radiology

Distinguishing between Rigor and Transparency in FDA Marketing Authorization of AI-enabled Medical Devices https://doi.org/10.1148/ryai.250369 @danafarber.bsky.social @fda.gov #ASER2025 #EMRad #radiology

A #DeepLearning pharmacokinetic parametric mapping method for early pCR prediction using multiphasic DCE-MRI https://doi.org/10.1148/ryai.240769#DeepLearning #ASER2025 #EMRad #radiology

Explore the Vasty Deep! Keep up with the latest posts to the @radiology-ai.bsky.social blog https://radiologyai.substack.com/ #AI #MachineLearning #ArtificialIntelligence

Multicenter Validation of Automated Segmentation and Composition Analysis of Lumbar Paraspinal Muscles Using Multisequence MRI https://doi.org/10.1148/ryai.240833 @griffith.edu.au‬ #ASER2025 #EMRad #radiology

#AI system that integrates eye gaze data & #radiology reports to improve diagnostic accuracy in #ChestXray interpretation https://doi.org/10.1148/ryai.240277#AI#radiology#ChestXrayh.edu #JFR2025 #radiologie #radiology

#FederatedLearning models for #MRI #prostate segmentation and #cancer detection https://doi.org/10.1148/ryai.240485#FederatedLearning#MRI#prostate#cancerg.nl @nkinl.bsky.social #JFR2025 #radiologie #radiology

Commentary on emerging method to diagnose AD, 3D Nested Hierarchical Transformer (3DNesT) model https://doi.org/10.1148/ryai.250686 #JFR2025 #radiologie #radiology

A milestone in the evolution of medical imaging AI from specialists to generalists https://doi.org/10.1148/ryai.250624 #JFR2025 #radiologie #radiology

CLAIM: the Checklist for AI in Medical Imaging #guideline #checklist https://pubs.rsna.org/page/ai/claim#guideline#checklist#AI #DeepLearning #ArtificialIntelligence

New comprehensive whole-body MRI #segmentation tool: MRSegmentator https://doi.org/10.1148/ryai.240477#segmentation@kbressem.bsky.social #JFR2025 #radiologie #radiology