Latest posts tagged with #USRad on Bluesky
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 #USRad #OncoRad #AI
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Interpretable Machine Learning Model Using Digitized US Features for Classifying Complex Thyroid Nodules https://doi.org/10.1148/ryai.250383 #USRad #AI #ML
Image from article in Radiology: Artificial Intelligence
Establishing normative, age-based, pediatric kidney length and volume percentiles from a large US dataset with a natural language processing model https://doi.org/10.1148/ryai.250056 #NLP #PedsRad #USRad
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US-derived Pediatric Kidney Length and Volume Percentiles by Age: A Big Data Approach https://doi.org/10.1148/ryai.250056 #USRad #AI #MachineLearning
Image from article in Radiology: Artificial Intelligence
Establishing normative, age-based, pediatric kidney length and volume percentiles from a large US dataset with a natural language processing model https://doi.org/10.1148/ryai.250056 #kidney #PedsRad #USRad
Image from article in Radiology: Artificial Intelligence
A natural language processing model extracts normal kidney length and volume percentiles for pediatric patients from a large US dataset https://doi.org/10.1148/ryai.250056 #kidney #USRad #ML
Image from article in Radiology: Artificial Intelligence
Establishing normative, age-based, pediatric kidney length and volume percentiles from a large US dataset with a natural language processing model https://doi.org/10.1148/ryai.250056 #NLP #USRad #ML
Image from article in Radiology: Artificial Intelligence
US-derived Pediatric Kidney Length and Volume Percentiles by Age: A Big Data Approach https://doi.org/10.1148/ryai.250056 #kidney #USRad #ML
On this day in 1910 Professor Ian Donald was born. Professor Donald pioneered the diagnostic use of ultrasound in obstetrics, which enables the visual discovery of abnormalities in pregnancy. #OBRad #USRad
Image from article in Radiology: Artificial Intelligence
Establishing normative, age-based, pediatric kidney length and volume percentiles from a large US dataset with a natural language processing model https://doi.org/10.1148/ryai.250056 #PedsRad #USRad #MachineLearning
Image from article in Radiology: Artificial Intelligence
#MachineLearning system generated high-quality breast ultrasound reports and improved diagnostic accuracy of radiologists with limited experience https://doi.org/10.1148/ryai.240625 #ISUOG2025 #USRad #ultrasound #OBRad #OBGyn
Image from article in Radiology: Artificial Intelligence
#AI system to generate breast #ultrasound reports https://doi.org/10.1148/ryai.240625 #ISUOG2025 #USRad #ultrasound #OBRad #OBGyn
Image from article in Radiology: Artificial Intelligence
ThyNet-S model detects & classifies #thyroid lesions on #ultrasound https://doi.org/10.1148/ryai.240271 #USRad #DeepLearning #ML
Image from article in Radiology: Artificial Intelligence
Unsupervised learning framework detects blood-brain barrier leakage in diffuse #glioma without pharmacokinetic models and arterial input function https://doi.org/10.1148/ryai.240507 #UltraCon2025 #ultrasound #USRad #radiology
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#AI model estimates respiratory disease mortality in an Asian health screening population https://doi.org/10.1148/ryai.240628 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Longitudinally aware segmentation network (LAS-Net) to quantify serial PET/CT images for pediatric patients with Hodgkin lymphoma https://doi.org/10.1148/ryai.240229 #UltraCon2025 #ultrasound #USRad #radiology
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Evaluating the Impact of Changes in AI-derived Case Scores over Time on Digital Breast Tomosynthesis Screening Outcomes https://doi.org/10.1148/ryai.230597 @pennmedresearch.bsky.social @pennmedicine.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
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#DeepLearning approach to spectral quantitation matches conventional methods for echo-planar spectroscopic imaging data https://doi.org/10.1148/ryai.230579 @rsnasky.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
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#GAN method generates pseudo-contrast enhanced ultrasound images to assess tumor response https://doi.org/10.1148/ryai.240370 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Physics-Informed Autoencoder provided accurate #prostate tissue biomarker measurements from #MRI data https://doi.org/10.1148/ryai.240167 #UltraCon2025 #ultrasound #USRad #radiology
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A method for post-hoc compression of TotalSegmentator https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
#MachineLearning to detect fetal brain abnormalities on #MRI https://doi.org/10.1148/ryai.240115 @bostonchildrens.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Evaluating Performance of a #DeepLearning Multilabel Segmentation Model to Quantify Acute and Chronic Brain Lesions at MRI after Stroke and Predict Prognosis https://doi.org/10.1148/ryai.240072 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
@_thomasli @MaldonadoFabien reveal the importance of interpreting a model’s performance relative to performance of other models on the same cohort https://doi.org/10.1148/ryai.230506 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Commentary on #YOLO v8 model trained on 491 noncontrast head CT volumes from the publicly available CQ500 dataset https://doi.org/10.1148/ryai.250032 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Can the computational effort of 3D CT-based multiorgan segmentation with TotalSegmentator be reduced via Tucker decomposition-based network compression? https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Evaluating the Impact of Changes in AI-derived Case Scores over Time on Digital Breast Tomosynthesis Screening Outcomes https://doi.org/10.1148/ryai.230597 @pennmedresearch.bsky.social @pennmedicine.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Deep learning for reliable & accurate segmentation of brain infarcts & white matter lesions https://doi.org/10.1148/ryai.240072 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Fetal #BrainAge prediction using #MRI to identify brain abnormalities https://doi.org/10.1148/ryai.240115 @bostonchildrens.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Commentary on #YOLO v8 model trained on 491 noncontrast head CT volumes from the publicly available CQ500 dataset https://doi.org/10.1148/ryai.250032 #UltraCon2025 #ultrasound #USRad #radiology
