Image from article in Radiology: Artificial Intelligence
Introducing Dr. Merel Huisman radiologyai.substack.com/p/introducing-dr-merel-h... #ASPNR26 #PedsRad #NeuroRad #radiology
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Image from article in Radiology: Artificial Intelligence
New commentary! Random convolutions for improving segmentation across different medical imaging domains https://doi.org/10.1148/ryai.251014 #ASPNR26 #PedsRad #NeuroRad #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 #ASPNR26 #PedsRad #NeuroRad #radiology
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Image from article in Radiology: Artificial Intelligence
In new Vasty Deep post, Keno Bressem discusses the importance of AI measurement tools for radiology radiologyai.substack.com/p/why-ai-should-measure-... #ASPNR26 #PedsRad #NeuroRad #radiology
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Image from article in Radiology: Artificial Intelligence
What's next after LLMs? AI agents that support whole radiology workflows! https://doi.org/10.1148/ryai.250651 #ASPNR26 #PedsRad #NeuroRad #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 #ASPNR26 #PedsRad #NeuroRad #radiology
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Image from article in Radiology: Artificial Intelligence
Dr. Merel Huisman joins the Editorial Board of Radiology: Artificial Intelligence radiologyai.substack.com/p/introducing-dr-merel-h... #ASPNR26 #PedsRad #NeuroRad #radiology
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Image from article in Radiology: Artificial Intelligence
A new commentary discusses the value of using random convolutions to bridge the gap across medical imaging domains https://doi.org/10.1148/ryai.251014 #ASPNR26 #PedsRad #NeuroRad #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 #ASPNR26 #PedsRad #NeuroRad #radiology
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Image from article in Radiology: Artificial Intelligence
Why AI should measure, not just detect radiologyai.substack.com/p/why-ai-should-measure-... #ASPNR26 #PedsRad #NeuroRad #radiology
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Image from article in Radiology: Artificial Intelligence
Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration https://doi.org/10.1148/ryai.250651 #ASPNR26 #PedsRad #NeuroRad #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 #ASPNR26 #PedsRad #NeuroRad #radiology
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Image from article in Radiology: Artificial Intelligence
Dr. Merel Huisman joins the Editorial Board of Radiology: Artificial Intelligence radiologyai.substack.com/p/introducing-dr-merel-h... #ASPNR26 #PedsRad #NeuroRad #radiology
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Image from article in Radiology: Artificial Intelligence
A new commentary discusses the value of using random convolutions to bridge the gap across medical imaging domains https://doi.org/10.1148/ryai.251014 #ASPNR26 #PedsRad #NeuroRad #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 #ASPNR26 #PedsRad #NeuroRad #radiology
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#ASPNR26 poster: Inadvertent ingestion of food containing grill bristle foreign bodies causes acute and severe symptoms of sore throat, odynophagia, and/or globus sensation.
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#ASPNR26 poster: Pediatric parathyroid adenomas are an extremely rare but treatable cause of hyperparathyroidism. There is a bimodal distribution with a smaller early peak in neonates and a larger second peak occurring from 6 years of age through adolescence
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You have to see this #ASPNR26 poster!
Developing alternative teaching methods provides an opportunity to expose preclinical learners to radiology & radiologists and may provide a networking opportunity to encourage medical students to consider a career in radiology.
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Image from article in Radiology: Artificial Intelligence
Why AI should measure, not just detect radiologyai.substack.com/p/why-ai-should-measure-... #ASPNR26 #PedsRad #NeuroRad #radiology
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Vertebral level is a more accurate landmark than the kidneys for assessing conus position on fetal MRI.
Make sure you read this #ASPNR26 poster from Dr. Tracie Kong and the @CincyKidsRad #FetalImaging team to learn more.
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Image from article in Radiology: Artificial Intelligence
What's next after LLMs? AI agents that support whole radiology workflows! https://doi.org/10.1148/ryai.250651 #ASPNR26 #PedsRad #NeuroRad #radiology
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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 #ASPNR26 #PedsRad #NeuroRad #radiology
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Congenital cysts can become infected. The location helps to make a more definitive diagnosis #ASPNR26
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Mycobacterial infection can cause cervical adenitis in children. On imaging, there may be a ring-enhancing nodal lesion with minimal inflammatory stranding #ASPNR26
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Cat scratch disease is caused by Bartonella henselae. A cat scratch or bite is typically present 1 to 4 weeks before the development of adenopathy. Commonly affected lymph nodes are in the epitrochlear, axillary, or femoral chains #ASPNR26
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Mononucleosis is caused by the Epstein-Barr virus. Patients can present with marked cervical lymphadenopathy, adenotonsillitis, fever, and malaise #ASPNR26
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Lemierre's syndrome represents a jugular vein thrombophlebitis with associated pulmonary septic emboli. It represents a complication of acute pharyngotonsillitis and is often caused by anaerobic infections #ASPNR26
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It is important for a neuroradiologist to describe vascular anomalies, such as an aberrant internal carotid artery, before retropharyngeal collection drainage. Jugular vein thrombosis is one of the more feared vascular complications #ASPNR26
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Retropharyngeal or deep neck abscesses can be difficult to distinguish on CT imaging. A definitive diagnosis can be made if an air-fluid level is present or if there is gas within the soft tissues. A presumptive diagnosis can be made if the collection is rim-enhancing #ASPNR26
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In patients with infectious adenitis, it is important for the radiologist to evaluate the location and extent of disease, if the node is suppurative or calcified, if there is adjacent cellulitis or myositis, and if there is an effect on the adjacent vasculature #ASPNR26
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