Utilizing deep learning to predict Alzheimer's disease and mild cognitive impairment with optical coherence tomography

Abstract INTRODUCTION Diagnostic performance of optical coherence tomography (OCT) to detect Alzheimer's disease (AD) and mild cognitive impairment (MCI) remains limited. We aimed to develop a deep‐learning algorithm using OCT to detect AD and MCI. METHODS We performed a cross‐sectional study involv...

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Autori principali:	Jacqueline Chua, Chi Li, Florina Antochi, Eduard Toma, Damon Wong, Bingyao Tan, Gerhard Garhöfer, Saima Hilal, Alina Popa‐Cherecheanu, Christopher Li‐Hsian Chen, Leopold Schmetterer
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Wiley 2025-01-01
Serie:	Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
Soggetti:	Alzheimer's dementia circumpapillary retinal nerve fiber layer deep learning macular ganglion cell and inner plexiform layer mild cognitive impairment optical coherence tomography
Accesso online:	https://doi.org/10.1002/dad2.70041
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