Table 8.
Top 20 most frequent keywords related to the application of artificial intelligence in the dementia biomarker field.
| Rank | Keyword | Occurrences (N=5467), n (%) | Period 1 (2007-2017), n (%)a | Period 2 (2018-2020), n (%)a | Period 3 (2021-2023), n (%)a |
| 1 | Alzheimer’s disease | 603 (11.03) | 102 (16.92) | 143 (23.71) | 358 (59.37) |
| 2 | Machine learning | 302 (5.52) | 24 (7.95) | 77 (25.5) | 201 (66.56) |
| 3 | Mild cognitive impairment | 166 (3.04) | 43 (25.9) | 40 (24.1) | 83 (50) |
| 4 | Biomarker | 153 (2.8) | 34 (22.22) | 33 (21.57) | 86 (56.21) |
| 5 | Deep learning | 128 (2.34) | 3 (2.34) | 25 (19.53) | 100 (78.13) |
| 6 | Magnetic resonance imaging | 126 (2.3) | 31 (24.6) | 29 (23.02) | 66 (52.38) |
| 7 | Dementia | 83 (1.52) | 10 (12.05) | 22 (26.51) | 51 (61.45) |
| 8 | Support vector machine | 78 (1.43) | 23 (29.49) | 22 (28.21) | 33 (42.31) |
| 9 | Classification | 57 (1.04) | 22 (38.6) | 17 (29.82) | 18 (31.58) |
| 10 | Artificial Intelligence | 48 (0.88) | 1 (2.08) | 9 (18.75) | 38 (79.17) |
| 11 | Convolutional neural network | 43 (0.79) | 0 (0) | 10 (23.26) | 33 (76.74) |
| 12 | Neuroimaging | 39 (0.71) | 8 (20.51) | 12 (30.77) | 19 (48.72) |
| 13 | Random forest | 39 (0.71) | 4 (10.26) | 10 (25.64) | 25 (64.1) |
| 14 | Diagnosis | 31 (0.57) | 7 (22.58) | 5 (16.13) | 19 (61.29) |
| 15 | Feature selection | 31 (0.57) | 10 (32.26) | 4 (12.9) | 17 (54.84) |
| 16 | Amyloid-Beta | 28 (0.51) | 7 (25) | 3 (10.71) | 18 (64.29) |
| 17 | Cerebrospinal fluid biomarker | 25 (0.46) | 7 (28) | 5 (20) | 13 (52) |
| 18 | Amyloid | 24 (0.44) | 5 (20.83) | 5 (20.83) | 14 (58.33) |
| 19 | Artificial neural network | 24 (0.44) | 4 (16.67) | 8 (33.33) | 12 (50) |
| 20 | Structural magnetic resonance imaging | 24 (0.44) | 8 (33.33) | 9 (37.5) | 7 (29.17) |
aThe denominator is the n value in “Occurrences” column.