ReCOGnAIze app to detect vascular cognitive impairment and mild cognitive impairment
Non-significant differences on Montreal Cognitive Assessment (MoCA) for vascular cognitive impairment (VCI). ReCOGnAIze artificial intelligence (AI) models identify VCI with area under the curve (AUC) of 0.85. ReCOGnAIze games detect mild cognitive impairment (MCI) with AUC of 0.90, outperforming MoCA (AUC = 0.7). Processing speed and response time variability are key VCI markers.
Authors
- Gurveen Kaur Sandhu
- Kiirtaara Aravindhan (ORCID: https://orcid.org/0000-0002-8941-1679)
- Pricilia Tanoto (ORCID: https://orcid.org/0009-0002-5456-690X)
- Adnan Azam Mohammed
- Bocheng Qiu (ORCID: https://orcid.org/0009-0005-3255-7027)
- Shan Yao Liew
- Eliana Setiabudi
- Hitesh Agarwal
- Kai Xin Liau
- Ashwati Vipin
- Jia Dong James Wang
- Nagaendran Kandiah
- Yi Jin Leow
- Farid Tan
Institutions
- National University of Singapore (SG)
- Nanyang Technological University (SG)
- Singapore Centre for Environmental Life Sciences Engineering (SG)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1002/alz.70992
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Research Foundation Singapore
- Nanyang Technological University
- Medical Research Council
- National Medical Research Council
- Lee Kong Chian School of Medicine, Nanyang Technological University