Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence Monitoring of ARIA‐H in Real‐World Patients Receiving Anti‐Amyloid Therapy
0
Zitationen
9
Autoren
2025
Jahr
Abstract
The findings demonstrate that the proposed AI system can be used to identify low-risk monitoring timepoints for ARIA-H. This suggests potential for reducing radiology workload and serving as a screener for radiology evaluation, thereby enhancing the efficiency, cost-effectiveness, consistency, and accessibility of ARIA-H monitoring. Future work will incorporate longitudinal ARIA-H training data to improve the PPV and specificity.
Ähnliche Arbeiten
Guidelines for the Early Management of Patients With Acute Ischemic Stroke
2013 · 7.631 Zit.
Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration
2013 · 5.248 Zit.
Frontotemporal lobar degeneration
1998 · 5.043 Zit.
Guidelines for the Management of Spontaneous Intracerebral Hemorrhage
2015 · 3.936 Zit.
Vascular Contributions to Cognitive Impairment and Dementia
2011 · 3.664 Zit.