Image from article in Radiology: Artificial Intelligence
Supporting communication in Radiology AI with ROADMAP, a new ontology https://doi.org/10.1148/ryai.260069 #SSR26 #SSR2026 #MSKRad #radiology
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Image from article in Radiology: Artificial Intelligence
Recognizing our most engaged and thorough reviewers of 2025 with the Editor's Recognition Awards https://doi.org/10.1148/ryai.260178 #SSR26 #SSR2026 #MSKRad #radiology
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Image from article in Radiology: Artificial Intelligence
Our reviewers are the backbone of the journal. We thank them for sharing their knowledge. https://doi.org/10.1148/ryai.260176 #SSR26 #SSR2026 #MSKRad #radiology
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Image from article in Radiology: Artificial Intelligence
Simple metrics can obscure the real value of AI models. Our new blog post looks beyond the flashy headlines of radiologist-level performance. radiologyai.substack.com/p/the-metric-mirage-why-... #SSR26 #SSR2026 #MSKRad #radiology
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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
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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
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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
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Image from article in Radiology: Artificial Intelligence
From RSNA to SPR, Kaggle challenges promote AI innovation radiologyai.substack.com/p/spr-launches-a-new-kag... #SSR26 #SSR2026 #MSKRad #radiology
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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