Q and A with the panel.
Reps really exited about the new activism app and building power 🔥
Lots of questions about how we grow our community, and build our branches 🫂
#RCNActivism
#JRC2025
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Now an update from Stu, The Activism Academy's Digital Comms Coordinator on the New RCN Activism App, and how we can use it to build community!
Exciting stuff 🤩
#RCNActivism
#JRC2025
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Now Rhian, Trade Union Committee member for Yorkshire and Humber and co-chair of the RCN Reps Project Board gives an update on the RCN's current work to grow and strengthen our Rep community 🔥
#RCNActivism
#JRC2025
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General Secretary and Chief Executive Nicola Ranger opening day two of #JRC2025 talking about the importance of RCN Activism 🔥
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RCN President Bejoy gives a pre-dinner speech at #JRC2025 recognising the valuable contribution that RCN Reps make to the Nursing community 💪🏾
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Image from article in Radiology: Artificial Intelligence
Explore a protocol-diverse cardiac #MRI dataset with multiple modalities, anatomic views, and k-space undersampling https://doi.org/10.1148/ryai.240443 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
Performance of Lung Cancer Prediction Models for Screening-detected, Incidental, and Biopsied Pulmonary Nodules https://doi.org/10.1148/ryai.230506 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
#DeepLearning detection of obstructive coronary artery disease predicted major adverse cardiac events in emergency department patients with acute chest pain https://doi.org/10.1148/ryai.240459 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
#DeepLearning model enhanced #ThyroidCancer screening on #ultrasound https://doi.org/10.1148/ryai.240271 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
#MRI scanner manufacturer & scan protocol impact performance of #AI models to classify #ProstateCancer https://doi.org/10.1148/ryai.230555 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
Evaluating the Impact of Changes in AI-derived Case Scores over Time on Digital Breast Tomosynthesis Screening Outcomes https://doi.org/10.1148/ryai.230597 @pennmedresearch.bsky.social @pennmedicine.bsky.social #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High-Resolution Short Echo Time MR Spectroscopy Datasets https://doi.org/10.1148/ryai.230579 @rsnasky.bsky.social #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
Analysis of imaging sequence, scanner manufacturer, endorectal coil use, and clinical variables #AI diagnostic accuracy https://doi.org/10.1148/ryai.250081 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
#DeepLearning detection of heart disease in emergency patients with acute chest pain https://doi.org/10.1148/ryai.240459 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
#DeepLearning model enhanced #ThyroidCancer screening on #ultrasound https://doi.org/10.1148/ryai.240271 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
Assessing the impact of #MRI manufacturer & scan protocol on prostate cancer diagnosis https://doi.org/10.1148/ryai.230555 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
Explore a protocol-diverse cardiac #MRI dataset with multiple modalities, anatomic views, and k-space undersampling https://doi.org/10.1148/ryai.240443 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
Tucker decomposition compression of #TotalSegmentator model reduces computational demand https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
Brittleness of #DeepLearning models for #ProstateCancer diagnosis https://doi.org/10.1148/ryai.250081 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
#DeepLearning detection of obstructive coronary artery disease predicted major adverse cardiac events in emergency department patients with acute chest pain https://doi.org/10.1148/ryai.240459 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
Adaptive dual-task #DeepLearning ThyNet- S model reduced workload in thyroid #cancer screening https://doi.org/10.1148/ryai.240271 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
Assessing the impact of #MRI manufacturer & scan protocol on prostate cancer diagnosis https://doi.org/10.1148/ryai.230555 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
Evaluating Skellytour for Automated Skeleton Segmentation from Whole-Body CT Images https://doi.org/10.1148/ryai.240050 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
Unsupervised Deep Learning for Blood-Brain Barrier Leakage Detection in Diffuse Glioma Using Dynamic Contrast-enhanced MRI https://doi.org/10.1148/ryai.240507 #JRC2025 #radiology
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Image from article in Radiology: Artificial Intelligence
How robust are #DeepLearning models for prostate cancer diagnosis? https://doi.org/10.1148/ryai.250081 #JRC2025 #radiology
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