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Evaluating the performance of #LLMs with and without #RAG augmentation on radiology knowledge questions derived from ABR exams https://doi.org/10.1148/ryai.240313 @ucsfimaging.bsky.social @rsnasky.bsky.social @drdremdphd.bsky.social #ACR2025 #RadEcon #RadLeaders #radiology
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#AutoQC: pipeline of classic statistical & AI-based tools for automated #QC and standardization of chest radiographs https://doi.org/10.1148/ryai.240003 #ACR2025 #RadEcon #RadLeaders #radiology
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Novel AutoQC quality control pipeline curates chest radiographs https://doi.org/10.1148/ryai.250135 #ACR2025 #RadEcon #RadLeaders #radiology
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Fully automated #DeepLearning method accurately detects endoleaks on #DSA imaging after #EVAR procedures https://doi.org/10.1148/ryai.240392 #ACR2025 #RadEcon #RadLeaders #radiology
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System for extracting structured clinical information from unstructured rad & path reports using #LLMs with retrieval-augmented generation https://doi.org/10.1148/ryai.240551 #ACR2025 #RadEcon #RadLeaders #radiology
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Detecting heart muscle #fibrosis on #MRI https://doi.org/10.1148/ryai.240303 #ACR2025 #RadEcon #RadLeaders #radiology
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Skellytour can segment bone in whole-body CT scans with up to 60 labels https://doi.org/10.1148/ryai.240050 #ACR2025 #RadEcon #RadLeaders #radiology
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One System to Rule Them All? Task- and Data-specific Considerations for Automated Data Extraction https://doi.org/10.1148/ryai.250175 @alitejanimd.bsky.social @drdremdphd.bsky.social #ACR2025 #RadEcon #RadLeaders #radiology
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Exploring performance of 8 #LungCancer AI models on clinical settings & sites outside their training distributions https://doi.org/10.1148/ryai.230506 #ACR2025 #RadEcon #RadLeaders #radiology
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Evaluating #NLP models to assign the optimal imaging protocol based on text from emergency brain MRI referrals https://doi.org/10.1148/ryai.230620 #ACR2025 #RadEcon #RadLeaders #radiology
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See the potential of #LLMs for extraction of clinical data from unstructured clinical reports https://doi.org/10.1148/ryai.240551 #ACR2025 #RadEcon #RadLeaders #radiology
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Predicting Mortality with Deep Learning: Are Metrics Alone Enough? https://doi.org/10.1148/ryai.250224 #ACR2025 #RadEcon #RadLeaders #radiology
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Deep Learning-based Aligned Strain from Cine Cardiac MRI for Detection of Fibrotic Myocardial Tissue in Patients with Duchenne Muscular Dystrophy https://doi.org/10.1148/ryai.240303 #ACR2025 #RadEcon #RadLeaders #radiology
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Applying Conformal Prediction to a Deep Learning Model for Intracranial Hemorrhage Detection to Improve Trustworthiness https://doi.org/10.1148/ryai.240032 @rsnasky.bsky.social #ACR2025 #RadEcon #RadLeaders #radiology
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Two #AI models showed strong performance for stand-alone cancer detection on screening mammograms https://doi.org/10.1148/ryai.240039 #ACR2025 #RadEcon #RadLeaders #radiology
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How well does a commercial #AI system perform on a large #BreastCancer screening cohort and various subgroups? https://doi.org/10.1148/ryai.240287 #ACR2025 #RadEcon #RadLeaders #radiology
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As AI in radiology transitions to #foundation models, dependence on expert annotations to prepare “AI-ready” datasets continues to evolve https://doi.org/10.1148/ryai.240631 @monganmd.bsky.social #ACR2025 #RadEcon #RadLeaders #radiology
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#RAG approach represents an important step toward making #LLMs smarter & safer for clinical and educational use https://doi.org/10.1148/ryai.250187 #ACR2025 #RadEcon #RadLeaders #radiology
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Artificial Intelligence Model for Real-Time Prenatal Nuchal Translucency Assessment: High Performance and Workflow Integration https://doi.org/10.1148/ryai.240498 #ACR2025 #RadEcon #RadLeaders #radiology
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One System to Rule Them All? Task- and Data-specific Considerations for Automated Data Extraction https://doi.org/10.1148/ryai.250175 @alitejanimd.bsky.social @drdremdphd.bsky.social #ACR2025 #RadEcon #RadLeaders #radiology
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CXR-Lung-Risk algorithm for stratifying respiratory disease #mortality risk among an Asian health screening population https://doi.org/10.1148/ryai.240628 #ACR2025 #RadEcon #RadLeaders #radiology
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A #DeepLearning model associates increase in CXR-Lung-Risk score with 2x higher risk of respiratory disease mortality https://doi.org/10.1148/ryai.250224 #ACR2025 #RadEcon #RadLeaders #radiology
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System for extracting structured clinical information from unstructured rad & path reports using #LLMs with retrieval-augmented generation https://doi.org/10.1148/ryai.240551 #ACR2025 #RadEcon #RadLeaders #radiology
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Retrieval-augmented generation significantly improves the performance of some #LLMs on a radiology exam https://doi.org/10.1148/ryai.240313 @ucsfimaging.bsky.social @rsnasky.bsky.social @drdremdphd.bsky.social #ACR2025 #RadEcon #RadLeaders #radiology
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AIM-NT model for nuchal translucency assessment demonstrated high diagnostic accuracy & matched radiologist workflow patterns in real-time #ultrasound https://doi.org/10.1148/ryai.240498 #ACR2025 #RadEcon #RadLeaders #radiology
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Short history & review of annotation & labeling of medical images https://doi.org/10.1148/ryai.240631 @monganmd.bsky.social #ACR2025 #RadEcon #RadLeaders #radiology
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One System to Rule Them All? Task- and Data-specific Considerations for Automated Data Extraction https://doi.org/10.1148/ryai.250175 @alitejanimd.bsky.social @drdremdphd.bsky.social #ACR2025 #RadEcon #RadLeaders #radiology
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Context Is Everything: Understanding Variable #LLM Performance for Radiology Retrieval-Augmented Generation https://doi.org/10.1148/ryai.250187 #ACR2025 #RadEcon #RadLeaders #radiology
