Artificial intelligence-based rapid brain volumetry substantially improves differential diagnosis in dementia.

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, p < 0.05), with increased correct diagnoses (p

SUBMITTER: Rudolph J 

PROVIDER: S-EPMC11632536 | biostudies-literature | 2024 Oct-Dec

REPOSITORIES: biostudies-literature