New meta-analysis shows that AI models for malignancy classification of lung nodules on chest CT demonstrate high sensitivity but only moderate specificity https://doi.org/10.1148/ryai.250331 #ESTI2026 #ESTI26 #ChestRad #radiology

New from the Vasty Deep: Dr. Tianyu Zhang on finding safe applications for AI agents https://radiologyai.substack.com/p/agentic-ai-in-radiology-what-should #ESTI2026 #ESTI26 #ChestRad #radiology

Introducing ReclAIm, a prototype framework for automated monitoring and targeted fine-tuning of medical image classification models https://doi.org/10.1148/ryai.250923 #ESTI2026 #ESTI26 #ChestRad #radiology

A multicenter longitudinal stroke dataset with hyperacute CT, acute MRI 2-9 days postreperfusion, and 3-month clinical outcomes for developing lesion identification and outcome prediction AI models https://doi.org/10.1148/ryai.250603 #ESTI2026 #ESTI26 #ChestRad #radiology

Applying failure modes and effects analysis to understand challenges and opportunities for medical AI implementation https://doi.org/10.1148/ryai.250671 #ESTI2026 #ESTI26 #ChestRad #radiology

Predicting outcomes in patients with COVID-19 using a transformer-based model that integrated longitudinal and multimodal medical data from chest radiography and CT https://doi.org/10.1148/ryai.240218 @asset25.bsky.social #ESTI2026 #ESTI26 #ChestRad #radiology

Predicting outcomes in patients with COVID-19 using a transformer-based model that integrated longitudinal and multimodal medical data from chest radiography and CT https://doi.org/10.1148/ryai.240218 @asset25.bsky.social #ESTI2026 #ESTI26 #ChestRad #radiology

AI Triage of Normal Chest Radiographs: A Silent Trial and Failure Analysis https://doi.org/10.1148/ryai.250964 #ESTI2026 #ESTI26 #ChestRad #radiology