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Open-Source Dataset for the RSNA Screening Mammography Cancer Detection Challenge https://doi.org/10.1148/ryai.250375 #mammogram #dataset #OncoRad
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 #mammogram #dataset #OncoRad
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AI model demonstrates that decreases in certain DCE MRI vascular textures patients with HR2-negative breast cancer predict pCR https://doi.org/10.1148/ryai.250734 #cancer #OncoRad #ML
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 #mammography #cancer #OncoRad
Adaptive radiotherapy in paediatric patients: A SIOP Europe ROWG survey on practice patterns across Europe academic.oup.com/bjr/advance-... #hvhebron #oncorad
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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 #OncoRad #ML #MachineLearning
Anesthesia in Pediatric Radiotherapy: A Systematic Literature Review by the SIOP Europe Working Group on Pediatric Anesthesia in Radiation Therapy onlinelibrary.wiley.com/doi/10.1002/... #hvhebron #oncorad
Radiotherapy for more efficacious novel anticancer drugs: a position paper from the European Society for Radiotherapy and Oncology focus group on novel systemic therapies and radiotherapy www.sciencedirect.com/science/arti... #hvhebron #oncorad
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Open-Source Dataset for the RSNA Screening Mammography Cancer Detection Challenge https://doi.org/10.1148/ryai.250375 #AI #cancer #OncoRad
Breast composition and dose deposition to fat and fibroglandular tissues are associated with breast side effects after radiation therapy www.thebreastonline.com/article/S096... #hvhebron #onco #oncorad #fismedpr [Text complet]
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An interpretable AI approach to accurately classify complex thyroid nodules with digitized ultrasound features https://doi.org/10.1148/ryai.250383 #ThyroidCancer #OncoRad #ML
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The Cost of Convenience: How Labeling Errors by Large Language Models Can Distort Evaluations of AI Performance https://doi.org/10.1148/ryai.251044 #SIO2026 #IRad #IROnc #OncoRad #radiology
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Teaching MRI to Read the Report: Text-Image Alignment for Brain MRI at Scale https://doi.org/10.1148/ryai.250962 #SIO2026 #IRad #IROnc #OncoRad #radiology
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Beyond Explainability: Opening the Black Box from Within radiologyai.substack.com/p/beyond-explainability-... #SIO2026 #IRad #IROnc #OncoRad #radiology
Image from article in Radiology: Artificial Intelligence
Interpretable Machine Learning Model Using Digitized US Features for Classifying Complex Thyroid Nodules https://doi.org/10.1148/ryai.250383 #SIO2026 #IRad #IROnc #OncoRad #radiology
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LLM-generated labels can introduce disease prevalence-dependent systemic bias into AI binary classification model performance evaluation https://doi.org/10.1148/ryai.250477 #SIO2026 #IRad #IROnc #OncoRad #radiology
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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 #SIO2026 #IRad #IROnc #OncoRad #radiology
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 #SIO2026 #IRad #IROnc #OncoRad #radiology
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 #SIO2026 #IRad #IROnc #OncoRad #radiology
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New data resource with 4-view 2D mammograms and corresponding BI-RADS assessment, breast density, machine ID, and proof of benign or malignant outcome https://doi.org/10.1148/ryai.250375 #SIO2026 #IRad #IROnc #OncoRad #radiology
#PhotonCountingCT can improve diagnostic accuracy and lesion characterization while reducing use of contrast agents and radiation dose in #OncoRad, say Italian researchers. buff.ly/cFFEj9g #CTImaging #Radiology
Breast Composition and Dose Deposition to Fat and Fibroglandular Tissues Are Associated with Breast Toxicity after Radiation Therapy www.thebreastonline.com/article/S096... #hvhebron #onco #oncorad #fismedpr [Text complet]
Stereotactic radiosurgery practice patterns for #brain #metastases journals.viamedica.pl/rpor/article... #hvhebron #oncorad [Text complet]
Balancing risks and benefits of immune checkpoint inhibitors in patients with pre-existing immune-mediated inflammatory diseases: A comprehensive review www.sciencedirect.com/science/arti... #hvhebron #onco #oncorad #reu
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Performance of a #DeepLearning AI algorithm to predict pulmonary nodule malignancy https://doi.org/10.1148/ryai.250685 #MachineLearning #OncoRad #AI
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How Much Training Data Does AI Need? https://doi.org/10.1148/ryai.250685 #MachineLearning #OncoRad #cancer
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Performance of a #DeepLearning AI algorithm to predict pulmonary nodule malignancy https://doi.org/10.1148/ryai.250685 #OncoRad #AI #ML
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A #DeepLearning pharmacokinetic parametric mapping method for early pCR prediction using multiphasic DCE-MRI https://doi.org/10.1148/ryai.240769 #OncoRad #MRI #ML
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#OpenSource #DeepLearning model detects & localizes breast cancer on MRI https://doi.org/10.1148/ryai.240550 @cuny.edu #ASTRO25 #RadOnc #OncoRad #radiology
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More accurate & consistent pCR predictions after neoadjuvant chemotherapy in patients with breast cancer https://doi.org/10.1148/ryai.240769 #ASTRO25 #RadOnc #OncoRad #radiology