Artificial Intelligence–Assisted Detection of Amyloid-Related Imaging Abnormalities: Promise and Pitfalls
American Journal of Neuroradiology, 2026
Abstract
Introduction: This study explores the application of artificial intelligence in detecting amyloid-related imaging abnormalities (ARIA), a critical consideration in Alzheimer's disease treatment monitoring.
Methods: The research investigates AI-assisted approaches for identifying ARIA using MR imaging, examining both the potential benefits and limitations of current technologies.
Results: Findings demonstrate promising capabilities of AI systems in detecting subtle imaging abnormalities associated with amyloid-related changes, while also highlighting important challenges and limitations that need to be addressed.
Conclusion: AI-assisted detection shows significant promise for improving ARIA identification, but careful consideration of pitfalls and validation is essential for clinical implementation.
