Image from article in Radiology: Artificial Intelligence
Deep learning–based assessment of coronary stenosis in vessels with heavily calcified plaques on coronary CT angiography https://doi.org/10.1148/ryai.250109 #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
Introducing the LumbarDISC Dataset, the largest publicly available adult MRI lumbar spine dataset for degenerative disease https://doi.org/10.1148/ryai.250480 @utah.edu #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes https://doi.org/10.1148/ryai.250506 #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
From RSNA to SPR, Kaggle challenges promote AI innovation https://radiologyai.substack.com/p/spr-launches-a-new-kaggle-challenge #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
UltraMC identified complex thyroid nodules and satisfactorily diagnosed conventional and mummified thyroid nodules in a large, multi-center study https://doi.org/10.1148/ryai.250383 #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
An interpretable self-supervised, abnormality-aware strategy for multiview mammogram analysis developed using in a retrospective cohort of 1626 patients https://doi.org/10.1148/ryai.240646 #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
Hear the experts discuss current research and other important topics in #AI on the journal's #podcast series! Paul Yi & @alitejanimd.bsky.social https://rsnaradiologyai.libsyn.com/ #MachineLearning #DeepLearning #Radiomics
Image from article in Radiology: Artificial Intelligence
Random convolutions serve as a data augmentation strategy for deep learning-based medical image segmentation models https://doi.org/10.1148/ryai.240502 @tum.de #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
New mammography dataset with BI-RADS, breast density, machine ID, and outcome data freely available to the research community https://doi.org/10.1148/ryai.250375 #WACV2026 #AI #ComputerVision
Image from article in Radiology: Artificial Intelligence
New commentary! US-based fetal imaging can detect spina bifida and cystic posterior fossa anomalies. https://doi.org/10.1148/ryai.260042 #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
Deep learning–based assessment of coronary stenosis in vessels with heavily calcified plaques on coronary CT angiography https://doi.org/10.1148/ryai.250109 #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
UltraMC identified complex thyroid nodules and satisfactorily diagnosed conventional and mummified thyroid nodules in a large, multi-center study https://doi.org/10.1148/ryai.250383 #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
The LumbarDISC dataset: multisequence, multiplanar adult MRI lumbar spine data from 8 institutions, with image level annotations https://doi.org/10.1148/ryai.250480 @utah.edu #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
Sign up online! Get e-mail alerts for The Vasty Deep, the @radiology-ai.bsky.social editor's blog https://radiologyai.substack.com/ #MachineLearning #DeepLearning #ArtificialIntelligence
Image from article in Radiology: Artificial Intelligence
Body Charts from CT Segmentations across the Adult Lifespan: Large-scale Cross-sectional and Longitudinal Analyses https://doi.org/10.1148/ryai.250506 #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
An interpretable self-supervised, abnormality-aware strategy for multiview mammogram analysis developed using in a retrospective cohort of 1626 patients https://doi.org/10.1148/ryai.240646 #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
The Metric Mirage: Why Radiologist-Level AI Doesn’t Mean Radiologists Are Obsolete https://radiologyai.substack.com/p/the-metric-mirage-why-radiologist #WACV2026 #AI #ComputerVision
Image from article in Radiology: Artificial Intelligence
Fetal Brain in B-Mode: AIRFRAME Model Takes on Posterior Fossa Malformation Detection https://doi.org/10.1148/ryai.260042 #ECR26 #ECR2026 #radiology
Image from article in Radiology: Artificial Intelligence
AIRFRAME part 1: developing a deep-learning algorithm for identifying posterior fossa abnormalities on first-trimester US screen scans https://doi.org/10.1148/ryai.250394 @fprefumo.bsky.social #ECR26 #ECR2026 #radiology
Image from article in Radiology: Artificial Intelligence
New mammography dataset with BI-RADS, breast density, machine ID, and outcome data freely available to the research community https://doi.org/10.1148/ryai.250375 #WACV2026 #AI #ComputerVision
Image from article in Radiology: Artificial Intelligence
The Checklist for AI in Medical Imaging addresses #AI applications that include classification, segmentation, and reconstruction of medical images
https://pubs.rsna.org/page/ai/claim #ML #Radiomics #ArtificialIntelligence
Image from article in Radiology: Artificial Intelligence
From RSNA to SPR, Kaggle challenges promote AI innovation https://radiologyai.substack.com/p/spr-launches-a-new-kaggle-challenge #ECR26 #ECR2026 #radiology
Image from article in Radiology: Artificial Intelligence
The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset https://doi.org/10.1148/ryai.250480 @utah.edu #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
Beyond simple performance claims, Gunvant Chaudhari argues for better milestones for evaluating radiology AI models. https://radiologyai.substack.com/p/the-metric-mirage-why-radiologist #WACV2026 #AI #ComputerVision
Image from article in Radiology: Artificial Intelligence
Dr. Patrica Rafful discusses new efforts to detect posterior fossa malformations on fetal B-mode US https://doi.org/10.1148/ryai.260042 #ECR26 #ECR2026 #radiology
Image from article in Radiology: Artificial Intelligence
Development of a Deep Learning Algorithm for Posterior Fossa Abnormality Recognition on First-Trimester US Screening Scans: AIRFRAME Study Part 1 https://doi.org/10.1148/ryai.250394 @fprefumo.bsky.social #ECR26 #ECR2026 #radiology
Image from article in Radiology: Artificial Intelligence
A self-supervised text-vision framework that can accurately detect clinically relevant brain MRI abnormalities without expert-labelled training data https://doi.org/10.1148/ryai.240619 #ECR26 #ECR2026 #radiology
Image from article in Radiology: Artificial Intelligence
Random Convolutions for Domain Generalization of Deep Learning-based Medical Image Segmentation Models https://doi.org/10.1148/ryai.240502 @tum.de #ECR26 #ECR2026 #radiology
Image from article in Radiology: Artificial Intelligence
Introducing the LumbarDISC Dataset, the largest publicly available adult MRI lumbar spine dataset for degenerative disease https://doi.org/10.1148/ryai.250480 @utah.edu #SSR26 #SSR2026 #MSKRad #radiology
Image from article in Radiology: Artificial Intelligence
The Metric Mirage: Why Radiologist-Level AI Doesn’t Mean Radiologists Are Obsolete https://radiologyai.substack.com/p/the-metric-mirage-why-radiologist #WACV2026 #AI #ComputerVision
