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. 2023 Oct 26;25(3):383–395. doi: 10.1093/ehjci/jead280

Table 2.

Echocardiographic measurements by AI measurement support software and reference in the different data sets

Data set 1 Data set 2 Data set 3 Data set 4
(real time) (HUNT4 repa) (HUNT4) (Tromsø7)
EDV AI, mL 120.5 (38.6) 106.7 (26.6) 100.6 (26.7) 96.9 (24.5)
ESV AI, mL 61.2 (31.6) 49.2 (17.0) 46.9 (15.4) 43.5 (14.0)
EF AI, % 50.9 (9.7) 54.2 (7.3) 53.6 (6.8) 55.4 (6.4)
EDV reference, mL 132.1 (41.1) 115.8 (30.5) 108.9 (32.7) 90.4 (23.8)
ESV reference, mL 65.2 (36.3) 50.4 (18.9) 44.7 (17.2) 40.8 (13.5)
EF reference, % 52.8 (10.7) 57.1 (6.2) 59.1 (6.6) 55.1 (7.1)
EDV differenceb, mL −11.6 (17.5) −9.1 (8.4) −8.3 (14.4) 6.5 (14.0)
ESV differenceb, mL −4.0 (14.6) −1.2 (6.0) 2.2 (8.8) 2.7 (11.2)
EF differenceb, % −1.9 (7.6) −2.9 (4.0) −5.5 (6.5) 0.3 (8.6)

Mean (SD) for absolute values of measurements grouped by data set.

AI, artificial intelligence; EDV, end-diastolic volume; EF, ejection fraction; ESV, end-systolic volume; HUNT, Trøndelag Health Study; rep, test–retest reproducibility.

aValues are averages of all available measurements by each method for all subjects.

bPaired differences calculated as AI minus reference.