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Table 1 Characteristics of patients whose color fundus photographs were included in the study

From: Application effect of an artificial intelligence-based fundus screening system: evaluation in a clinical setting and population screening

Application environment

Normal

ARMD

DR

RVO

Referable glaucoma

PM

Other abnormalities

Ophthalmic clinic

       

 Number of patients

230

11

9

14

35

24

61

 Mean age (years)

47.77 ± 19.63 (Range: 4–84)

67.27 ± 8.30 (Range: 51–81)

61.44 ± 5.64 (Range: 52–69)

55.93 ± 14.07 (Range: 13–71)

56.46 ± 15.13 (Range: 11–87)

38.12 ± 16.90 (Range: 9–69)

47.13 ± 16.75 (Range: 8–79)

Sex

       

 Male

95 (41.30%)

8 (72.73%)

6 (66.67%)

5 (35.71%)

20 (57.14%)

13 (54.17%)

35 (57.38%)

 Female

135 (58.70%)

3 (27.27%)

3 (33.33%)

9 (64.29%)

15 (42.86%)

11 (45.83%)

26 (42.62%)

Ethnicity

       

 Han

18 (7.83%)

1 (9.09%)

1 (11.11%)

0

1 (2.86%)

2 (8.33%)

2 (3.28%)

 Uyghur

209 (90.87%)

10 (90.91%)

8 (88.89%)

14 (100%)

34 (97.14%)

22 (91.67%)

59 (96.72%)

 Other

3 (1.30%)

0

0

0

0

0

0

Physical examination center

       

 Number of patients

8349

509

68

254

1548

334

199

 Mean age (years)

46.20 ± 15.46 (Range: 3–103)

51.58 ± 16.16 (Range: 40–99)

56.9 ± 14.47 (Range: 20–82)

55.23 ± 12.56 (Range: 11–82)

49.91 ± 16.89 (Range: 3–92)

48.43 ± 16.77 (Range: 10–84)

51.07 ± 17.13 (Range: 4–87)

Sex

       

 Male

4340 (51.98%)

279 (54.81%)

30 (44.12%)

137 (53.94%)

894 (57.75%)

153 (45.81%)

116 (58.29%)

 Female

4009 (48.02%)

230 (45.19%)

38 (55.88%)

117 (46.06%)

654 (45.25%)

181 (54.19%)

83 (41.71%)

Ethnicity

       

 Han

661 (7.92%)

38 (7.47%)

6 (8.82%)

20 (7.87%)

132 (8.53%)

27 (8.08%)

12 (6.03%)

 Uyghur

7683 (92.02%)

470 (92.34%)

62 (91.18%)

231 (90.94%)

1414 (91.34%)

304 (91.02%)

187 (93.97%)

 Other

5 (0.06%)

1 (0.02%)

0

3 (1.18%)

2 (0.13)

3 (0.90%)

0