Automation Bias and Deskilling in Radiology AI: A Confidence-stratified Triage Model for Workflow Integration https://pubs.rsna.org/doi/10.1148/ryai.260591 #AITriage #AutomationBias #Desskilling

PROPHET, a CT-visible spatial phenotype associated with pathologically confirmed extrapancreatic perineural invasion (EPNI) may improve care for patients with pancreatic ductal adenocarcinoma https://pubs.rsna.org/doi/10.1148/ryai.260357 #PancreaticCancer #InterpretableAI #ML

Join hosts Paul Yi & @alitejanimd.bsky.social for the Radiology: Artificial Intelligence #podcast series! @rsnasky.bsky.social https://rsnaradiologyai.libsyn.com/ #AI #ML #MachineLearning

How could automated BT-RADS classification change clinical practice? A real-world evaluation of a BT-RADS algorithm shows promising results. https://pubs.rsna.org/doi/epdf/10.1148/ryai.260234 #JustAccepted #AIinBrief #BTRADS

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 #FDA #PCCP #MachineLearning

DeepVEST: Deep Learning-based Vessel Segmentation and Erasure in Breast MRI for Improved Lesion Assessment https://doi.org/10.1148/ryai.250630 #ImageArtifacts #ML #MachineLearning

A new deep learning tool supports opportunistic screening for left ventricular dysfunction on chest X rays https://pubs.rsna.org/doi/10.1148/ryai.260161 #OpportunisticScreening #DeepLearning #LVEF

AI improves image quality, but there are important limitations of postprocessing algorithms https://doi.org/10.1148/ryai.260100 #RadiologyAI #ImageQuality #Diagnosis

MultiModalNet: a deep learning model that combines longitudinal mammograms and clinical data https://doi.org/10.1148/ryai.260941 #Mammography #DeepLearning #ML

Explore the Vasty Deep! Keep up with the latest posts to the @radiology-ai.bsky.social blog https://radiologyai.substack.com/ #ML #DeepLearning #ArtificialIntelligence

Human-AI Collaboration in Radiology: The Blind Spots https://pubs.rsna.org/doi/10.1148/ryai.260325 shk03.bsky.social #RadiologyAI #ML #MachineLearning

How could automated BT-RADS classification change clinical practice? A real-world evaluation of a BT-RADS algorithm shows promising results. https://pubs.rsna.org/doi/epdf/10.1148/ryai.260234 #JustAccepted #AIinBrief #BTRADS

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

Anatomy-informed CT Spatial Phenotype Associated with Extrapancreatic Perineural Invasion in Resected Pancreatic Ductal Adenocarcinoma https://pubs.rsna.org/doi/10.1148/ryai.260357 #CT #PancreaticCancer #MachineLearning

Interpretable Deep Learning for Opportunistic Screening of Left Ventricular Dysfunction Screening Using Chest Radiographs https://pubs.rsna.org/doi/10.1148/ryai.260161 #LeftVentricularDysfunction #OpportunisticScreening #AI

CLAIM: the Checklist for AI in Medical Imaging #guideline #checklist https://pubs.rsna.org/page/ai/claim #ML #MachineLearning #ArtificialIntelligence

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 #AutomationBias #UIUX #MachineLearning

A Deep Learning Model to Predict Breast Cancer Recurrence Using Longitudinal Mammograms and Clinical Data https://doi.org/10.1148/ryai.260941 #BreastCancer #DeepLearning #ML

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

Anatomy-informed CT Spatial Phenotype Associated with Extrapancreatic Perineural Invasion in Resected Pancreatic Ductal Adenocarcinoma https://pubs.rsna.org/doi/10.1148/ryai.260357 #ESOI #OncoRad #radiology

Automation Bias and Deskilling in Radiology AI: A Confidence-stratified Triage Model for Workflow Integration https://pubs.rsna.org/doi/10.1148/ryai.260591 #ESOI #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 #ESOI #OncoRad #radiology

Learn how to mitigate bias in radiology #DeepLearning applications https://pubs.rsna.org/page/ai/mitigating_bias #ML #MachineLearning #ArtificialIntelligence

AI improves image quality, but there are important limitations of postprocessing algorithms https://doi.org/10.1148/ryai.260100 #ESOI #OncoRad #radiology

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

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

Anatomy-informed CT Spatial Phenotype Associated with Extrapancreatic Perineural Invasion in Resected Pancreatic Ductal Adenocarcinoma https://pubs.rsna.org/doi/10.1148/ryai.260357 #ESOI #OncoRad #radiology

Automation Bias and Deskilling in Radiology AI: A Confidence-stratified Triage Model for Workflow Integration https://pubs.rsna.org/doi/10.1148/ryai.260591 #ESOI #OncoRad #radiology

Interpretable Deep Learning for Opportunistic Screening of Left Ventricular Dysfunction Screening Using Chest Radiographs https://pubs.rsna.org/doi/10.1148/ryai.260161 #ESOI #OncoRad #radiology

AI improves image quality, but there are important limitations of postprocessing algorithms https://doi.org/10.1148/ryai.260100 #ESOI #OncoRad #radiology