AI Article Synopsis
- - Type 2 diabetes is linked to cognitive decline, making the study of early detection of cognitive impairment increasingly important.
- - Digital tools such as remote cognitive assessments and sensors show promise for better monitoring and understanding cognitive issues in people with T2D.
- - This commentary reviews how effective these digital methods are for spotting cognitive decline and discusses their potential benefits for enhancing patient care in T2D.
Article Abstract
Type 2 diabetes (T2D) is a risk factor for cognitive decline. In neurodegenerative disease research, remote digital cognitive assessments and unobtrusive sensors are gaining traction for their potential to improve early detection and monitoring of cognitive impairment. Given the high prevalence of cognitive impairments in T2D, these digital tools are highly relevant. Further research incorporating remote digital biomarkers of cognition, behavior, and motor functioning may enable comprehensive characterizations of patients with T2D and may ultimately improve clinical care and equitable access to research participation. The aim of this commentary article is to review the feasibility, validity, and limitations of using remote digital cognitive tests and unobtrusive detection methods to identify and monitor cognitive decline in neurodegenerative conditions and apply these insights to patients with T2D.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11528805 | PMC |
| http://dx.doi.org/10.1177/19322968231171399 | DOI Listing |
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