Missed the STR 2026 Shark Tank Lunch? Watch the presentation on contrast-free CT:VQ™ featuring Matt Tucker (4DMedical) + Dr. Joseph Mammarappallil (Duke). Recording: www.youtube.com/watch?v=gobP... #STR2026 #ThoracicRadiology #Radiology #QuantitativeImaging
From STR 2026 (Puerto Rico): ~400 cardiothoracic radiologists in-person + ~200 online. 4D's Matt Tucker showcased CT:VQ—quantitative lobar V/Q maps from routine inspiratory/expiratory chest CT (no contrast!). Duke’s Joseph Mammarappallil, MD, PhD shared case examples. #STR2026 #ThoracicRadiology #CT
Huge congrats to Dr. Lamia Choudhury for being named the Clinical Conundrums Winner at the 2026 Annual Meeting of the Society of Thoracic Radiology!
Proud to see UC Davis and our residency program so well represented! 👏
#STR2026 #ThoracicRadiology #RadiologyResident
Huge congrats to Dr. Lamia Choudhury for being named the Clinical Conundrums Winner at the 2026 Annual Meeting of the Society of Thoracic Radiology!
Proud to see UC Davis and our residency program so well represented! 👏
#STR2026 #ThoracicRadiology #RadiologyResident
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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
Join us this morning at #STR2026: @ucsfimaging.bsky.social's Dr. Brian Haas will present on contrast preparedness simulation training & Dr. Maya Vella will present on teaching across all levels of medical training.
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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
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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
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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
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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 #STR2026 #ChestRad #CVRad #radiology
Two @ucsfimaging.bsky.social faculty take the stage at #STR2026 today. Dr. Jonathan Liu will present on transcatheter valve replacement & Dr. Brett Elicker will moderate the Gamsu Lecture.
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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
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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
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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
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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
Thanks to @ThoracicRadiology (STR) for hosting today’s Shark Tank lunch—great energy and questions from thoracic radiologists. 🎥 Hear
@JMammarappallil
MD, PhD (Duke) + Matt Tucker (4DMedical) on the interest in CT:VQ™: V/Q reports from contrast‑free CT. ctvq.com #STR2026
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Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration https://doi.org/10.1148/ryai.250651 #STR2026 #ChestRad #CVRad #radiology
Today at #STR2026, @ucsfimaging.bsky.social's Dr. Devan Diwanji will present Clinical Conundrums: Conundrum #8. See you there!
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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
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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
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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
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Why word count limits still matter in the age of digital articles radiologyai.substack.com/p/why-word-count-limits-... #STR2026 #ChestRad #CVRad #radiology
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Open-Source Dataset for the RSNA Screening Mammography Cancer Detection Challenge https://doi.org/10.1148/ryai.250375 #STR2026 #ChestRad #CVRad #radiology
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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
Catch @ucsfimaging.bsky.social's Dr. Brett Elicker moderating Session 7: Unknown Film Panel later today at #STR2026
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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
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Toward Patient-Centered AI in Radiology radiologyai.substack.com/p/toward-patient-centere... #STR2026 #ChestRad #CVRad #radiology
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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
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Why word count limits still matter in the age of digital articles radiologyai.substack.com/p/why-word-count-limits-... #STR2026 #ChestRad #CVRad #radiology
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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
