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Development of Privacy-preserving #DeepLearning Model with Homomorphic Encryption: A Technical Feasibility Study in Kidney CT Imaging https://doi.org/10.1148/ryai.240798 #ASER2025 #EMRad #radiology
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Privacy-preserving Deep Learning in Medical Imaging: Feasibility and Challenges https://doi.org/10.1148/ryai.250682 #ASER2025 #EMRad #radiology
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Generative model, using a single inspiratory CT, outperformed existing algorithms in parametric response map evaluation https://doi.org/10.1148/ryai.240680 #ASER2025 #EMRad #radiology
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CoRaX #AI system helps radiologists detect abnormalities on chest radiographs https://doi.org/10.1148/ryai.240277 @uh.edu #ASER2025 #EMRad #radiology
Image from article in Radiology: Artificial Intelligence
Development of Privacy-preserving #DeepLearning Model with Homomorphic Encryption: A Technical Feasibility Study in Kidney CT Imaging https://doi.org/10.1148/ryai.240798 #ASER2025 #EMRad #radiology
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Technical feasibility demonstration shows homomorphic encryption can achieve comparable diagnostic accuracy to nonencrypted models https://doi.org/10.1148/ryai.250682 #ASER2025 #EMRad #radiology
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Generative #AI method reduces radiation dose & produces parametric response map parameters using only inspiratory-phase CT https://doi.org/10.1148/ryai.240680 #ASER2025 #EMRad #radiology
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#CoRaX demonstrated potential to aid radiologists in detecting abnormalities on CXRs by identifying & correcting perceptual errors https://doi.org/10.1148/ryai.240277 @uh.edu #ASER2025 #EMRad #radiology
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#DeepLearning automated lumbar paraspinal muscle segmentation, muscle volume quantification, & fatty infiltration assessment on #MRI https://doi.org/10.1148/ryai.240833 @griffith.edu.au #ASER2025 #EMRad #radiology
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Rigor vs. transparency in @US_FDA marketing authorization of AI-enabled #MedicalDevices https://doi.org/10.1148/ryai.250369 @danafarber.bsky.social @fda.gov #ASER2025 #EMRad #radiology
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Generative #AI model predicted functional small airway disease (sensitivity 86.3%; AUC 0.86) https://doi.org/10.1148/ryai.240680 #ASER2025 #EMRad #radiology
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Let’s Agree to Be Wrong: Transforming Alzheimer Disease Diagnosis https://doi.org/10.1148/ryai.250686 #ASER2025 #EMRad #radiology
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Fine-tuning federated learning improves #ProstateCancer detection https://doi.org/10.1148/ryai.240485 @rug.nl @nkinl.bsky.social #ASER2025 #EMRad #radiology
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CoRaX #AI system helps radiologists detect abnormalities on chest radiographs https://doi.org/10.1148/ryai.240277 @uh.edu #ASER2025 #EMRad #radiology
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A milestone in the evolution of medical imaging AI from specialists to generalists https://doi.org/10.1148/ryai.250624 #ASER2025 #EMRad #radiology
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Distinguishing between Rigor and Transparency in FDA Marketing Authorization of AI-enabled Medical Devices https://doi.org/10.1148/ryai.250369 @danafarber.bsky.social @fda.gov #ASER2025 #EMRad #radiology
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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 #ASER2025 #EMRad #radiology
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Multicenter Validation of Automated Segmentation and Composition Analysis of Lumbar Paraspinal Muscles Using Multisequence MRI https://doi.org/10.1148/ryai.240833 @griffith.edu.au #ASER2025 #EMRad #radiology
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Mirai implicitly learned to identify mammographic lesion features, particularly calcifications, for lesion detection and risk prediction https://doi.org/10.1148/ryai.240417 #ACEP25 #EmergMed #EMRad #radiology
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Liver Imaging Feature Transformer model for classification of focal lesions on multiparametric #MRI https://doi.org/10.1148/ryai.240531 #ACEP25 #EmergMed #EMRad #radiology
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Generative #AI model predicted functional small airway disease (sensitivity 86.3%; AUC 0.86) https://doi.org/10.1148/ryai.240680 #ACEP25 #EmergMed #EMRad #radiology
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AI system generates high-quality #breast ultrasound reports approaching the diagnostic level of radiologists https://doi.org/10.1148/ryai.240625 #ACEP25 #EmergMed #EMRad #radiology
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Prediction of Early Neoadjuvant Chemotherapy Response of Breast Cancer through Deep Learning-based Pharmacokinetic Quantification of DCE MRI https://doi.org/10.1148/ryai.240769 #ACEP25 #EmergMed #EMRad #radiology
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MR-Transformer predicts knee osteoarthritis progression to joint replacement using MRI https://doi.org/10.1148/ryai.240373 @cem.bsky.social @cai2r.net #ACEP25 #EmergMed #EMRad #radiology
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#CoRaX is an #AI system that acts as an expert supervisor https://doi.org/10.1148/ryai.250575 #ACEP25 #EmergMed #EMRad #radiology
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#RadioRAG shows potential to improve LLM accuracy in radiology question answering by integrating real-time domain-specific data https://doi.org/10.1148/ryai.240476 @tayebiarasteh.bsky.social #ACEP25 #EmergMed #EMRad #radiology
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Mirai implicitly learned to identify mammographic lesion features, particularly calcifications, for lesion detection and risk prediction https://doi.org/10.1148/ryai.240417 #ACEP25 #EmergMed #EMRad #radiology
Image from article in Radiology: Artificial Intelligence
Development of Privacy-preserving #DeepLearning Model with Homomorphic Encryption: A Technical Feasibility Study in Kidney CT Imaging https://doi.org/10.1148/ryai.240798 #ACEP25 #EmergMed #EMRad #radiology
Image from article in Radiology: Artificial Intelligence
MR-Transformer predicts knee osteoarthritis progression to joint replacement using MRI https://doi.org/10.1148/ryai.240373 @cem.bsky.social @cai2r.net #ACEP25 #EmergMed #EMRad #radiology
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CoRaX is a collaborative intelligence tool that enhances diagnostic accuracy by functioning as a second-look system https://doi.org/10.1148/ryai.250575 #ACEP25 #EmergMed #EMRad #radiology
