Table 1 Characteristics of 579,583 screening mammograms interpreted from September 2021 to December 2022

From: Equitable impact of an AI-driven breast cancer screening workflow in real-world US-wide deployment

Ā 

Overall

Cohort

Standard of care

Multistage AI-driven workflow

Examinations, number (%)

Whole population

579,583 (100.0)

370,692 (100.0)

208,891 (100.0)

Patient race and ethnicity, number (%)

Asian

48,552 (8.38)

30,706 (8.28)

17,846 (8.54)

Black, non-Hispanic

154,300 (26.62)

100,559 (27.13)

53,741 (25.73)

Hispanic

123,668 (21.34)

78,915 (21.29)

44,753 (21.42)

White, non-Hispanic

193,974 (33.47)

123,654 (33.36)

70,320 (33.66)

Other race

107,641 (18.57)

67,564 (18.23)

40,077 (19.19)

Breast density, number (%)

A

40,095 (6.92)

25,929 (6.99)

14,166 (6.78)

B

275,476 (47.53)

174,248 (47.01)

101,228 (48.46)

C

241,446 (41.66)

155,759 (42.02)

85,687 (41.02)

D

22,566 (3.89)

14,756 (3.98)

7,810 (3.74)

Age group, number (%)

<40

5,414 (0.93)

3,508 (0.95)

1,906 (0.91)

40–49

131,739 (22.73)

86,158 (23.24)

45,581 (21.82)

50–59

171,447 (29.58)

110,805 (29.89)

60,642 (29.03)

60–69

164,688 (28.41)

104,031 (28.06)

60,657 (29.04)

70–79

90,745 (15.66)

56,570 (15.26)

34,175 (16.36)

≄80

15,550 (2.68)

9,620 (2.60)

5,930 (2.84)

Age group additional breakdown, number (%)

<55

219,157 (37.81)

142,895 (38.55)

76,262 (36.51)

55–64

177,367 (30.60)

113,423 (30.60)

63,944 (30.61)

65+

183,059 (31.58)

114,374 (30.85)

68,685 (32.88)