Latest posts tagged with #Chestrad on Bluesky
#chestrad - necrobiotic nodules from rheumatoid arthritis
For additional information: radiopaedia.org/articles/rhe...
#radiology
#thoracicthursday
@gbama11.medsky.social
@pulmpeeps.bsky.social
@ctisus.bsky.social
#Chestrad- Respiratory bronchiolitis (RB) 🚬
For more information: radiopaedia.org/articles/res...
#thoracicthursday
#radiology
@laurengroner.bsky.social
@mmestas.bsky.social
@gbama11.medsky.social
@stefantigges.bsky.social
Same lungs, different futures. 🫁
In pulmonary fibrosis & emphysema, pattern matters: UIP progresses fastest, while survival hinges more on how much fibrosis is there & what happens next (lung cancer, exacerbations) 📖
#radiology
#chestrad
@laurengroner.bsky.social
pubs.rsna.org/doi/10.1148/...
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 #segmentation #ChestRad #Liver
Less dose. Less contrast. Better answers.
Photon‑counting #CT takes on #LungCancer imaging with a quadruple‑low protocol cutting radiation and contrast while boosting image quality and confidence.
A smarter scan for patients who need it.
#Radiology
#chestrad
pubs.rsna.org/doi/10.1148/...
Image from article in Radiology: Artificial Intelligence
A new deep learning model for automatic quantification of coronary luminal stenosis in patients with heavily calcified plaques on coronary CT angiography https://doi.org/10.1148/ryai.250109 #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
MRI-derived extra-axial cerebrospinal fluid (eaCSF) reference values for children and adolescents: a tool for assessing atypical eaCSF development https://doi.org/10.1148/ryai.250123 #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
How does noise from LLM-generated annotations effect AI classification performance? A new simulation study reveals systematic, prevalence-dependent biases in model evaluation. https://doi.org/10.1148/ryai.250477 #STR2026 #ChestRad #CVRad #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 #STR2026 #ChestRad #CVRad #radiology
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 #STR2026 #ChestRad #CVRad #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 #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
Ontologies still matter to Radiology AI. A new post on the Vasty Deep explains why. radiologyai.substack.com/p/are-ontologies-still-r... #STR2026 #ChestRad #CVRad #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 #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
Researchers meet in Hershey, PA to discuss the importance of human factors for AI in radiology radiologyai.substack.com/p/why-human-factors-matt... #STR2026 #ChestRad #CVRad #radiology
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 #STR2026 #ChestRad #CVRad #radiology
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 #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
MRI-derived extra-axial cerebrospinal fluid (eaCSF) reference values for children and adolescents: a tool for assessing atypical eaCSF development https://doi.org/10.1148/ryai.250123 #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
How does noise from LLM-generated annotations effect AI classification performance? A new simulation study reveals systematic, prevalence-dependent biases in model evaluation. https://doi.org/10.1148/ryai.250477 #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
Why word count limits still matter in the age of digital articles radiologyai.substack.com/p/why-word-count-limits-... #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
Open-Source Dataset for the RSNA Screening Mammography Cancer Detection Challenge https://doi.org/10.1148/ryai.250375 #STR2026 #ChestRad #CVRad #radiology
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 #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
Visualizing Radiologic Connections: An Explainable Coarse-to-Fine Foundation Model with Multiview Mammograms and Associated Reports https://doi.org/10.1148/ryai.240646 #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
Toward Patient-Centered AI in Radiology radiologyai.substack.com/p/toward-patient-centere... #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
Rethinking Privacy in Medical Imaging AI: From Metadata and Pixel-level Identification Risks to Federated Learning and Synthetic Data Challenges https://doi.org/10.1148/ryai.250273 #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
Why word count limits still matter in the age of digital articles radiologyai.substack.com/p/why-word-count-limits-... #STR2026 #ChestRad #CVRad #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 #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
Researchers meet in Hershey, PA to discuss the importance of human factors for AI in radiology radiologyai.substack.com/p/why-human-factors-matt... #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
A retrospective study defines extra-axial cerebrospinal fluid growth charts to support diagnosis of benign enlargement of the subarachnoid space https://doi.org/10.1148/ryai.250123 #STR2026 #ChestRad #CVRad #radiology
Image from article in Radiology: Artificial Intelligence
Leveraging free-text neuroradiology reports to develop a self-supervised text-vision framework for detecting abnormalities on brain MRI https://doi.org/10.1148/ryai.240619 #STR2026 #ChestRad #CVRad #radiology
Thinking about LDCT for people who’ve never smoked? Not so fast! With unclear benefit and big risks—overdiagnosis, overtreatment, & radiation—routine screening doesn’t add up. Smarter, personalized, risk‑based strategies win. 📖
#radiology
#chestrad
pubs.rsna.org/doi/10.1148/...
