Frank J. Wolters

EXPRESS: Bayesian networks to estimate prognosis in vascular cognitive impairment and small vessel disease: integrated analyses of interdependent contributors to multiple outcomes

BACKGROUND: Vascular cognitive impairment (VCI) and small vessel disease (SVD) involve interconnected factors influencing multiple outcomes, also beyond cognitive decline. Bayesian networks (BNs) can help unravel these complex interrelations, which we demonstrate in this proof-of...

International Modified Delphi Consensus on Assessment and Management of Covert Brain Infarction

BackgroundCovert brain infarction (CBI) is a frequent incidental neuroradiological finding increasingly recognized as clinically relevant due to its association with stroke, cognitive decline, and other adverse outcomes. However, substantial uncertainty remains regarding its opti...

Automatic extraction of structured information from brain MRI reports using an open-weight large language model

Abstract Objectives Automatic data extraction from free-text radiology reports enables large-scale research, but few studies assessed the performance of large language models (LLMs) on Dutch neuroradiology reports. Materials and methods We analyzed 947 brain MRI reports from a te...