. 2024 Aug 8;26:e57830. doi: 10.2196/57830

Table 6.

The top 10 locally cited articles on the application of artificial intelligence in dementia biomarkers.

Rank	Article title	Study	LCS^a (n=2157), n (%)	GCS^b (n=23,842), n (%)	NLCS^c	NGCS^d	PY^e
1	Multimodal classification of Alzheimer’s disease and mild cognitive impairment	Zhang et al [77]	109 (5.05)	883 (3.7)	7.6	6.0	2011
2	Machine learning framework for early MRI-based Alzheimer’s conversion prediction in MCI subjects	Moradi et al [78]	52 (2.41)	421 (1.77)	7.7	5.2	2015
3	Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer’s disease	Zhang and Shen [79]	40 (1.85)	453 (1.9)	6.2	4.0	2012
4	Deep learning in Alzheimer’s disease: diagnostic classification and prognostic prediction using neuroimaging data	Jo et al [11]	35 (1.62)	229 (0.96)	9.3	6.9	2019
5	Accurate multimodal probabilistic prediction of conversion to Alzheimer’s disease in patients with mild cognitive impairment	Young et al [80]	31 (1.44)	183 (0.77)	6.4	3.2	2013
6	Predicting Alzheimer’s disease progression using multi-modal deep learning approach	Lee et al [81]	29 (1.34)	158 (0.66)	7.7	4.8	2019
7	Random forest–based similarity measures for multi-modal classification of Alzheimer’s disease	Gray et al [82]	25 (1.16)	306 (1.28)	5.1	5.4	2013
8	Multimodal neuroimaging feature learning for multiclass diagnosis of Alzheimer’s disease	Liu et al [83]	25 (1.16)	323 (1.35)	3.7	4.0	2015
9	Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset	Hinrichs et al [84]	23 (1.07)	157 (0.66)	2.0	1.7	2009
10	Early detection of Alzheimer’s disease using MRI hippocampal texture	Sorensen et al [85]	23 (1.07)	120 (0.5)	6.4	2.9	2016