Table 2 Summary of the ophthalmic conditions of participants in this study
From: Early detection of visual impairment in young children using a smartphone-based deep learning system
Dataset A (n = 2,344 children) | Dataset B (n = 187 children) | Dataset C (n = 361 children) | Dataset D (n = 298 children) | Dataset E (n = 32 children) | Dataset F (n = 88 children) | |
|---|---|---|---|---|---|---|
Ophthalmic conditions, n (%) | ||||||
Nonimpairment | 871 (37.2%) | 102 (54.5%) | 87 (24.1%) | 188 (63.1%) | 10 (31.3%) | 31 (35.2%) |
Aphakia | 153 (6.5%) | 7 (3.7%) | 44 (12.2%) | 4 (1.3%) | 6 (18.8%) | 6 (10.5%) |
Congenital cataract | 348 (14.8%) | 7 (3.7%) | 133 (36.8%) | 28 (9.4%) | 10 (31.3%) | 30 (52.6%) |
Congenital glaucoma | 95 (4.1%) | 5 (2.7%) | 0 | 2 (0.7%) | 0 | 1 (1.8%) |
High ametropia | 69 (2.9%) | 7 (3.7%) | 2 (0.6%) | 10 (3.4%) | 2 (6.3%) | 3 (5.3%) |
Peters’ anomaly | 39 (1.7%) | 4 (2.1%) | 0 | 0 | 0 | 1 (1.8%) |
Nystagmus | 174 (7.4%) | 7 (3.7%) | 39 (10.8%) | 21 (7.0%) | 1 (3.1%) | 4 (7.0%) |
PFV | 36 (1.5%) | 2 (1.1%) | 6 (1.7%) | 0 | 1 (3.1%) | 3 (5.3%) |
Other fundus diseases | 54 (2.3%) | 4 (2.1%) | 2 (0.6%) | 7 (2.3%) | 0 | 0 |
Congenital ptosis | 101 (4.3%) | 10 (5.3%) | 0 | 2 (0.7%) | 0 | 0 |
Retinoblastoma | 41 (1.7%) | 6 (3.2%) | 2 (0.6%) | 3 (1.0%) | 0 | 2 (3.5%) |
Strabismus | 245 (10.5%) | 15 (8.0%) | 35 (9.7%) | 28 (9.4%) | 1 (3.1%) | 6 (10.5%) |
Limbal dermoid | 34 (1.5%) | 3 (1.6%) | 0 | 0 | 0 | 0 |
Microphthalmia | 19 (0.8%) | 2 (1.1%) | 1 (0.3%) | 3 (1.0%) | 0 | 0 |
Pupillary membranes | 19 (0.8%) | 2 (1.1%) | 7 (1.9%) | 1 (0.3%) | 1 (3.1%) | 1 (1.8%) |
SSOM | 11 (0.5%) | 0 | 0 | 1 (0.3%) | 0 | 0 |
Other | 35 (1.5%) | 4 (2.1%) | 3 (0.8%) | 0 | 0 | 0 |
