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Table 7 The incidences of major adverse outcomes before and after AI web-based application online use

From: Implementation of a machine learning application in preoperative risk assessment for hip repair surgery

Demographics

Before AIa

After AI

P-Value*

2019/07–2020/04

2020/07–2021/04

N = 545

N = 500

Age, mean (SD)

65.1 (18.5)

64.7 (17.9)

0.238

Sex, female, n (%)

306 (56.1)

252 (50.4)

0.072

Sex, male, n (%)

239 (43.9)

248 (49.6)

ASA-PS classification

ASA-1, n (%)

9 (1.7)

6 (1.2)

0.207

ASA-2, n (%)

141 (25.9)

104 (20.8)

ASA-3, n (%)

376 (69.0)

368 (73.6)

ASA-4–5, n (%)

19 (3.5)

22 (4.4)

Primary composite outcome, n (%)

18 (3.3)

8 (1.6)

0.117

ICU admission, n (%)

24 (4.4)

12 (2.4)

0.109

PLOSc, n (%)

50 (9.2)

54 (10.8)

0.439

  1. * two-tailed student t test or chi-squared test, as appropriate
  2. a Application online was used since 2020/07/01
  3. b PLOS prolonged length-of-stay