The value of community engagement in the ESTRO-EORTC OligoCare project: A quantification of the in-kind contributions. www.sciencedirect.com/science/arti... #hvhebron #oncorad [Text complet]

Benchmarking of AI and Radiologists for Indeterminate Lung Nodule Malignancy Risk Estimation on Screening CT: The LUNA25 Challenge buff.ly/7oIngrf @ASTRO_org #ASTRO26 #RadOnc #OncoRad #radiology

Image Quality in the Era of Artificial Intelligence: Understanding the Limitations of AI-based Image Reconstruction and Postprocessing https://doi.org/10.1148/ryai.260100 #ASTRO26 #RadOnc #OncoRad #radiology

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): Explanation, Elaboration, and Examples https://doi.org/10.1148/ryai.260835 #ASTRO26 #RadOnc #OncoRad #radiology

DMUVL-DiagNet: a new model for accurate characterization of superficial LA using dual-modality US videos https://doi.org/10.1148/ryai.260131 #ASTRO26 #RadOnc #OncoRad #radiology

Predetermined Change Control Plan Adoption and Documentation Transparency in U.S. Food and Drug Administration–cleared Radiology Artificial Intelligence/Machine Learning Devices https://doi.org/10.1148/ryai.260385 #ASTRO26 #RadOnc #OncoRad #radiology

Kay Wu writes about the challenges and opportunities of AI in medical eduation https://radiologyai.substack.com/p/training-radiologists-in-the-age #ASTRO26 #RadOnc #OncoRad #radiology

Human-AI Collaboration in Radiology: The Blind Spots https://pubs.rsna.org/doi/10.1148/ryai.260325 shk03.bsky.social #ASTRO26 #RadOnc #OncoRad #radiology

Predetermined Change Control Plan Adoption and Documentation Transparency in U.S. Food and Drug Administration–cleared Radiology Artificial Intelligence/Machine Learning Devices https://doi.org/10.1148/ryai.260385 #ASTRO26 #RadOnc #OncoRad #radiology

Benchmarking of AI and Radiologists for Indeterminate Lung Nodule Malignancy Risk Estimation on Screening CT: The LUNA25 Challenge https://doi.org/10.1148/ryai.260179 #ASTRO26 #RadOnc #OncoRad #radiology

New from The Vasty Deep: Training Radiologists in the Age of AI https://radiologyai.substack.com/p/training-radiologists-in-the-age #ASTRO26 #RadOnc #OncoRad #radiology

New Special Report! Three underexplored domains drive the success of human-AI collaboration in radiology https://pubs.rsna.org/doi/10.1148/ryai.260325 shk03.bsky.social #ASTRO26 #RadOnc #OncoRad #radiology

Predetermined Change Control Plan Adoption and Documentation Transparency in U.S. Food and Drug Administration–cleared Radiology Artificial Intelligence/Machine Learning Devices https://doi.org/10.1148/ryai.260385 #ASTRO26 #RadOnc #OncoRad #radiology

Benchmarking of AI and Radiologists for Indeterminate Lung Nodule Malignancy Risk Estimation on Screening CT: The LUNA25 Challenge https://doi.org/10.1148/ryai.260179 #ASTRO26 #RadOnc #OncoRad #radiology

Results of the LUNA25 Challenge: AI outperforms radiologists in estimating malignancy risk on indeterminate lung nodules on LDCT https://doi.org/10.1148/ryai.260179 #ICIS2026 #OncoRad #CancerImaging #cancer #radiology

Benchmarking of AI and Radiologists for Indeterminate Lung Nodule Malignancy Risk Estimation on Screening CT: The LUNA25 Challenge https://doi.org/10.1148/ryai.260179 #ICIS2026 #OncoRad #CancerImaging #cancer #radiology

DeepVEST: Deep Learning-based Vessel Segmentation and Erasure in Breast MRI for Improved Lesion Assessment https://doi.org/10.1148/ryai.250630 #ICIS2026 #OncoRad #CancerImaging #cancer #radiology

Results of the LUNA25 Challenge: AI outperforms radiologists in estimating malignancy risk on indeterminate lung nodules on LDCT https://doi.org/10.1148/ryai.260179 #OncoRad #CT #MachineLearning

An artificial intelligence system outperformed radiologists in malignancy risk estimation of indeterminate lung nodules on baseline CT scans from three European trials, demonstrating its potential as a radiologist decision-support tool. https://doi.org/10.1148/ryai.260179 #OncoRad #CT #ML

Benchmarking of AI and Radiologists for Indeterminate Lung Nodule Malignancy Risk Estimation on Screening CT: The LUNA25 Challenge https://doi.org/10.1148/ryai.260179 #OncoRad #ML #MachineLearning