“School of Cognitive%20Sciences”
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| Paper IPM / Cognitive%20Sciences / 16485 |
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| Abstract: | |||||||||||||||
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Background
We developed the Integrated Cognitive Assessment (ICA), a novel, computerised cognitive assessment test that aims at screening for cognitive impairment in a way that can simplify and accelerate that diagnosis of Alzheimer's Dementia (AD) and Mild Cognitive Impairment (MCI) .The test is self�?�administered, takes approximately five minutes and primarily focuses on measuring speed of information processing and utilises artificial intelligence in order to improve its predictive power.The ICA is independent of language and education and is free from learning bias (i.e. practice effect).
Methods
We carried a head�?�to�?�head comparison of the ICA against the Montreal Cognitive Assessment (MoCA) and the Addenbrooke's Cognitive Assessment (ACE�?�III) in 69 participants of which 19 had a diagnosis of Mild AD, 21 had a diagnosis of MCI and 29 healthy volunteers where participants' age range varied from 50 to 83 years (mean= 67.1 years; Standard Deviation= 7.7 years).
Results
ICA's AI component (AI�?�engine) utilised a logistic regression model and yielded an Area�?�under�?�the�?�Receiver�?�Operating�?�Characteristic�?�Curve (AUC) score of 81.7
Conclusions
ICA showed convergent validity with MoCA and ACE�?�III, with higher accuracy in detecting cognitive impairment compared to MoCA and ACE�?�III. The above attributes yield significant clinical benefits in the screening of MCI and AD, both in primary care and in specialist clinical settings. ICA has advantages over MoCA and ACE�?�III because of its efficient administration, shorter duration, automatic scoring, language independency, capacity for very regular monitoring of the trajectory of disease progression and potential for medical record or research database integration.
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