Table 1 Characteristics of clinic day clusters and patient participants by study group.

From: Autonomous artificial intelligence increases real-world specialist clinic productivity in a cluster-randomized trial

Characteristic

Control group

Intervention group

Clinic days

 Number

54

51

Patients total (including non-participants)

 Number

2708

3013

Patient participants

 Number

499

494

Age, years

 22–40

81 (16.2%)

86 (17.4%)

 41–50

183 (36.7%)

167 (33.8%)

 51–60

158 (31.7%)

170 (34.4%)

 >60

77 (15.4%)

71 (14.4%)

Mean (SD)

51.0 (10.0)

50.8 (9.70)

Male sex, n (%)

234 (46.9%)

235 (47.6%)

Education

 No education

137 (27.4%)

114 (23.1%)

 Non-graded religious school

102 (20.4%)

123 (24.9%)

 Primary school only

237 (47.5%)

231 (46.8%)

 Secondary school

23 (4.61%)

26 (5.26%)

Monthly incomea

 $50–$150

70 (14.0%)

64 (13.0%)

 $151–$250

122 (24.4%)

137 (27.7%)

 $251–$500

196 (39.3%)

181 (36.6%)

 >$500

111 (22.2%)

112 (22.7%)

Patient autonomous AI output

 DED present

167 (33.5%)

140 (28.3%)

 DED absent

321 (64.3%)

331 (67.0%)

 Insufficient quality

11 (2.20%)

23 (4.66%)

  1. DED : referable Diabetic Eye Disease: ETDRS level 35 or higher, clinically significant macular edema, and/or center-involved macular edema.
  2. aMonthly income reported in taka and converted to USD at a conversion rate of 0.01057 as of July 29, 2022 (https://www.xe.com/currencycharts/?from=BDT&to=USD).