biostudies-literatureUnknown24(1)Li R<h4>Background</h4>The current literature shows a strong relationship between retinal neuronal and vascular alterations in dementia. The purpose of the study was to use NFN+ deep learning models to analyze retinal vessel characteristics for cognitive impairment (CI) recognition.<h4>Methods</h4>We included 908 participants from a community-based cohort followed for over 15 years (the prospective KaiLuan Study) who underwent brain magnetic resonance imaging (MRI) and fundus photography between 2021 and 2022. The cohort consisted of both cognitively healthy individuals (N = 417) and those with cognitive impairment (N = 491). We employed the NFN+ deep learning framework for retinal vessel segmentation and measurement. Associations between Retinal microvascular parameters (RMPs: central retinalBMC geriatrics28https://www.ebi.ac.uk/biostudies/studies/S-EPMC10770952biostudies-literatureOcular biomarkers of cognitive decline based on deep-learning retinal vessel segmentation.PMC10770952Li HLi JYang LLiang XLv BLi RZhang SYin ZNi YLi XXie GYang YLv HZhang XHui YWu SWang ZLiu GfalseOcular biomarkers of cognitive decline based on deep-learning retinal vessel segmentation.<h4>Background</h4>The current literature shows a strong relationship between retinal neuronal and vascular alterations in dementia. The purpose of the study was to use NFN+ deep learning models to analyze retinal vessel characteristics for cognitive impairment (CI) recognition.<h4>Methods</h4>We included 908 participants from a community-based cohort followed for over 15 years (the prospective KaiLuan Study) who underwent brain magnetic resonance imaging (MRI) and fundus photography between 2021 and 2022. The cohort consisted of both cognitively healthy individuals (N = 417) and those with cognitive impairment (N = 491). We employed the NFN+ deep learning framework for retinal vessel segmentation and measurement. Associations between Retinal microvascular parameters (RMPs: central retinal2024-01-01T00:00:00Z2024 Jan2025-04-04T21:28:45.661Z2025-02-19T03:18:06.47ZS-EPMC107709523818453910.1186/s12877-023-04593-8