To support liver remnant volumetry, a 3D nnU-Net performs automated delineation of Couiaud segments on CT https://doi.org/10.1148/ryai.250808 @tejasmathai.bsky.social #ACR2026 #RadEcon #RadLeaders #radiology
May 7, 2026 at 3:15 AM
To support liver remnant volumetry, a 3D nnU-Net performs automated delineation of Couiaud segments on CT https://doi.org/10.1148/ryai.250808 @tejasmathai.bsky.social #ACR2026 #RadEcon #RadLeaders #radiology
Applying failure modes and effects analysis to understand challenges and opportunities for medical AI implementation https://doi.org/10.1148/ryai.250671 #ACR2026 #RadEcon #RadLeaders #radiology
May 6, 2026 at 11:15 PM
Applying failure modes and effects analysis to understand challenges and opportunities for medical AI implementation https://doi.org/10.1148/ryai.250671 #ACR2026 #RadEcon #RadLeaders #radiology
Cognitively Biased Prompt Effects on Large Language Model Accuracy for Radiology Board-Style Examination Questions https://doi.org/10.1148/ryai.250585 #ACR2026 #RadEcon #RadLeaders #radiology
May 6, 2026 at 7:15 PM
Cognitively Biased Prompt Effects on Large Language Model Accuracy for Radiology Board-Style Examination Questions https://doi.org/10.1148/ryai.250585 #ACR2026 #RadEcon #RadLeaders #radiology
Recognizing our most engaged and thorough reviewers of 2025 with the Editor's Recognition Awards https://doi.org/10.1148/ryai.260178 #ACR2026 #RadEcon #RadLeaders #radiology
May 6, 2026 at 3:15 PM
Recognizing our most engaged and thorough reviewers of 2025 with the Editor's Recognition Awards https://doi.org/10.1148/ryai.260178 #ACR2026 #RadEcon #RadLeaders #radiology
Why reporting checklists for research on foundation and large language models matter https://radiologyai.substack.com/p/why-reporting-checklists-for-research #ACR2026 #RadEcon #RadLeaders #radiology
May 6, 2026 at 11:15 AM
Why reporting checklists for research on foundation and large language models matter https://radiologyai.substack.com/p/why-reporting-checklists-for-research #ACR2026 #RadEcon #RadLeaders #radiology
Supporting model trustworthiness by understanding failure modes: a new taxonomy of AI hallucination https://doi.org/10.1148/ryai.250203 #ACR2026 #RadEcon #RadLeaders #radiology
May 6, 2026 at 7:15 AM
Supporting model trustworthiness by understanding failure modes: a new taxonomy of AI hallucination https://doi.org/10.1148/ryai.250203 #ACR2026 #RadEcon #RadLeaders #radiology
Bastien Le Guellec discusses the importance of humility in Radiology AI https://radiologyai.substack.com/p/are-you-sure-robot-in-the-box #ACR2026 #RadEcon #RadLeaders #radiology
May 6, 2026 at 3:15 AM
Bastien Le Guellec discusses the importance of humility in Radiology AI https://radiologyai.substack.com/p/are-you-sure-robot-in-the-box #ACR2026 #RadEcon #RadLeaders #radiology
Supporting communication in Radiology AI with ROADMAP, a new ontology https://doi.org/10.1148/ryai.260069 @cekahn.bsky.social #ACR2026 #RadEcon #RadLeaders #radiology
May 5, 2026 at 11:15 PM
Supporting communication in Radiology AI with ROADMAP, a new ontology https://doi.org/10.1148/ryai.260069 @cekahn.bsky.social #ACR2026 #RadEcon #RadLeaders #radiology
The ISLES’24 Dataset: A Multimodal Stroke Imaging Dataset with Hyperacute CT, Acute Postinterventional MRI, and 3-month Clinical Outcomes https://doi.org/10.1148/ryai.250603 #ACR2026 #RadEcon #RadLeaders #radiology
May 5, 2026 at 7:15 PM
The ISLES’24 Dataset: A Multimodal Stroke Imaging Dataset with Hyperacute CT, Acute Postinterventional MRI, and 3-month Clinical Outcomes https://doi.org/10.1148/ryai.250603 #ACR2026 #RadEcon #RadLeaders #radiology
Feeling grateful to the expert reviewers who supported Radiology AI in 2025 https://doi.org/10.1148/ryai.260178 #ACR2026 #RadEcon #RadLeaders #radiology
May 5, 2026 at 3:15 PM
Feeling grateful to the expert reviewers who supported Radiology AI in 2025 https://doi.org/10.1148/ryai.260178 #ACR2026 #RadEcon #RadLeaders #radiology
New from the Vasty Deep: The importance of the REFINE checklist for foundation and large language models https://radiologyai.substack.com/p/why-reporting-checklists-for-research #ACR2026 #RadEcon #RadLeaders #radiology
May 5, 2026 at 11:15 AM
New from the Vasty Deep: The importance of the REFINE checklist for foundation and large language models https://radiologyai.substack.com/p/why-reporting-checklists-for-research #ACR2026 #RadEcon #RadLeaders #radiology
Facilitating rigorous, transparent, and responsible evaluation of medical AI systems with a taxonomy of metrics https://doi.org/10.1148/ryai.260070 #ACR2026 #RadEcon #RadLeaders #radiology
May 5, 2026 at 7:15 AM
Facilitating rigorous, transparent, and responsible evaluation of medical AI systems with a taxonomy of metrics https://doi.org/10.1148/ryai.260070 #ACR2026 #RadEcon #RadLeaders #radiology
Intratumoral heterogeneity spatial-contextual modeling facilitates prediction of breast cancer response to neoadjuvant therapy https://doi.org/10.1148/ryai.250760 #ACR2026 #RadEcon #RadLeaders #radiology
May 5, 2026 at 3:15 AM
Intratumoral heterogeneity spatial-contextual modeling facilitates prediction of breast cancer response to neoadjuvant therapy https://doi.org/10.1148/ryai.250760 #ACR2026 #RadEcon #RadLeaders #radiology
The Radiology Ontology of AI Datasets, Models, and Projects (ROADMAP) provides a common language for researchers https://doi.org/10.1148/ryai.260069 @cekahn.bsky.social #ACR2026 #RadEcon #RadLeaders #radiology
May 4, 2026 at 11:15 PM
The Radiology Ontology of AI Datasets, Models, and Projects (ROADMAP) provides a common language for researchers https://doi.org/10.1148/ryai.260069 @cekahn.bsky.social #ACR2026 #RadEcon #RadLeaders #radiology
Multi-Institutional Annotated Multiparametric MRI Dataset of Pediatric High-Grade Gliomas https://doi.org/10.1148/ryai.250902 #ACR2026 #RadEcon #RadLeaders #radiology
May 4, 2026 at 7:15 PM
Multi-Institutional Annotated Multiparametric MRI Dataset of Pediatric High-Grade Gliomas https://doi.org/10.1148/ryai.250902 #ACR2026 #RadEcon #RadLeaders #radiology
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 #ACR2026 #RadEcon #RadLeaders #radiology
May 4, 2026 at 3:15 PM
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 #ACR2026 #RadEcon #RadLeaders #radiology
In new blog post, contributors to the REFINE checklist discuss its value for Radiology AI https://radiologyai.substack.com/p/why-reporting-checklists-for-research #ACR2026 #RadEcon #RadLeaders #radiology
May 4, 2026 at 11:15 AM
In new blog post, contributors to the REFINE checklist discuss its value for Radiology AI https://radiologyai.substack.com/p/why-reporting-checklists-for-research #ACR2026 #RadEcon #RadLeaders #radiology
Imaging the Breast Cancer Microenvironment: Toward Interpretable MRI Biomarkers for Treatment Response https://doi.org/10.1148/ryai.260266 #ACR2026 #RadEcon #RadLeaders #radiology
May 4, 2026 at 7:15 AM
Imaging the Breast Cancer Microenvironment: Toward Interpretable MRI Biomarkers for Treatment Response https://doi.org/10.1148/ryai.260266 #ACR2026 #RadEcon #RadLeaders #radiology
In new blog post, Bastien Le Guellec highlights the importance of uncertainty in radiology and how humble AI models support clinical decision making https://radiologyai.substack.com/p/are-you-sure-robot-in-the-box #ACR2026 #RadEcon #RadLeaders #radiology
May 4, 2026 at 3:15 AM
In new blog post, Bastien Le Guellec highlights the importance of uncertainty in radiology and how humble AI models support clinical decision making https://radiologyai.substack.com/p/are-you-sure-robot-in-the-box #ACR2026 #RadEcon #RadLeaders #radiology
Accelerated Aging and Aging Velocity from Deep Learning–based Chest Radiograph–derived Age for Predicting Cause-specific Mortality https://doi.org/10.1148/ryai.250609 #ACR2026 #RadEcon #RadLeaders #radiology
May 3, 2026 at 11:15 PM
Accelerated Aging and Aging Velocity from Deep Learning–based Chest Radiograph–derived Age for Predicting Cause-specific Mortality https://doi.org/10.1148/ryai.250609 #ACR2026 #RadEcon #RadLeaders #radiology
A comprehensive, machine-interpretable taxonomy of AI performance metrics https://doi.org/10.1148/ryai.260070 #ACR2026 #RadEcon #RadLeaders #radiology
May 3, 2026 at 7:15 PM
A comprehensive, machine-interpretable taxonomy of AI performance metrics https://doi.org/10.1148/ryai.260070 #ACR2026 #RadEcon #RadLeaders #radiology
An interpretable multimodal deep learning model integrating MRI with clinical and molecular variables enabled survival prediction with time-dependent model interpretability in glioblastoma https://doi.org/10.1148/ryai.250675 #ACR2026 #RadEcon #RadLeaders #radiology
May 3, 2026 at 3:15 PM
An interpretable multimodal deep learning model integrating MRI with clinical and molecular variables enabled survival prediction with time-dependent model interpretability in glioblastoma https://doi.org/10.1148/ryai.250675 #ACR2026 #RadEcon #RadLeaders #radiology
New Commentary! Paul Babyn discusses how Radiology AI can help determine biological age https://doi.org/10.1148/ryai.260358 #ACR2026 #RadEcon #RadLeaders #radiology
May 3, 2026 at 11:15 AM
New Commentary! Paul Babyn discusses how Radiology AI can help determine biological age https://doi.org/10.1148/ryai.260358 #ACR2026 #RadEcon #RadLeaders #radiology
Diagnosing intracranial large- and medium-vessel occlusion in a multicenter, emergency setting using a commercial AI tool for CT angiography https://doi.org/10.1148/ryai.250749 #ACR2026 #RadEcon #RadLeaders #radiology
May 3, 2026 at 7:15 AM
Diagnosing intracranial large- and medium-vessel occlusion in a multicenter, emergency setting using a commercial AI tool for CT angiography https://doi.org/10.1148/ryai.250749 #ACR2026 #RadEcon #RadLeaders #radiology
A model that uses longitudinal DCE-MRI data improves pCR prediction in HER2-negative breast cancer https://doi.org/10.1148/ryai.250734 #ACR2026 #RadEcon #RadLeaders #radiology
May 3, 2026 at 3:15 AM
A model that uses longitudinal DCE-MRI data improves pCR prediction in HER2-negative breast cancer https://doi.org/10.1148/ryai.250734 #ACR2026 #RadEcon #RadLeaders #radiology