ArticleAlzheimer's & dementia (Amsterdam, Netherlands)
Artificial intelligence-based rapid brain volumetry substantially improves differential diagnosis in dementia.
Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Machine learning in neuroradiology: Recent developments and applications.World journal of radiology · 2026Review
- Regional Brain Volume Variation Across Adulthood: A Cross-Sectional MRI Analysis of Age, Sex, and Hemispheric Asymmetry.Life (Basel, Switzerland) · 2026Article
- Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis.Annals of clinical and translational neurology · 2026Article
- [Artificial intelligence in surgical disciplines: Clinical application, advantages, and potential-a Delphi expert consensus].Urologie (Heidelberg, Germany) · 2026Article
- Artificial Intelligence-Assisted Volumetric Brain Analysis Correlated with CSF Biomarkers in Alzheimer's Disease: A Pilot Study.Diagnostics (Basel, Switzerland) · 2026Article
- Alzheimer's Disease Classification Using Population-Referenced Brain Volumetric Percentiles.Brain sciences · 2026Article
- AI-Based Brain Volumetry Without MPRAGE? Evaluation of Synthetic T1-MPRAGE from 2D T2/FLAIR.Diagnostics (Basel, Switzerland) · 2026Article
- MRI approach to the patient with suspected dementia: artificial intelligence techniques and semi-quantitative rating scales compared.Frontiers in radiology · 2026Article
- Volume and Attenuation Characteristics of Chronic Subdural Hematoma: An Annotated Patient Cohort of 257 Patients with Interrater Reliability Assessments.Tomography (Ann Arbor, Mich.) · 2025Article
- Easy-to-use and easy-to-interpret quality control of 3D gradient echo T1-weighted MR acquisition sequences for improved test-retest stability of MRI-based hippocampus volumetry.Journal of Alzheimer's disease : JAD · 2025Article
- Comparison of the ABC/2 formula with computer-assisted volumetry of ischemic cerebellar stroke.PloS one · 2025Article
- Deep learning-based cortical thickness maps for diagnosis of neurodegenerative diseases: a rater study.Alzheimer's & dementia (Amsterdam, Netherlands)Article
- Artificial intelligence-based rapid brain volumetry substantially improves differential diagnosis in dementia.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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38 authors.
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Abstract
Introduction: This study evaluates the clinical value of a deep learning-based artificial intelligence (AI) system that performs rapid brain volumetry with automatic lobe segmentation and age- and sex-adjusted percentile comparisons. Methods: Fifty-five patients-17 with Alzheimer's disease (AD), 18 with frontotemporal dementia (FTD), and 20 healthy controls-underwent cranial magnetic resonance imaging scans. Two board-certified neuroradiologists (BCNR), two board-certified radiologists (BCR), and three radiology residents (RR) assessed the scans twice: first without AI support and then with AI assistance. Results: AI significantly improved diagnostic accuracy for AD (area under the curve -AI: 0.800, +AI: 0.926, Discussion: AI-assisted volumetry improves diagnostic performance in differentiating AD and FTD, benefiting all reader groups, including BCNR. Highlights: Artificial intelligence (AI)-supported brain volumetry significantly improved the diagnostic accuracy for Alzheimer's disease (AD) and frontotemporal dementia (FTD), with notable performance gains across radiologists of varying expertise levels.The presented AI tool is readily clinically available and reduces brain volumetry processing time from 12 to 24 hours to under 5 minutes, with full integration into picture archiving and communication systems, streamlining the workflow and facilitating real-time clinical decision making.AI-supported rapid brain volumetry has the potential to improve early diagnosis and to improve patient management.
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