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. 2020 Nov 16;100(4):369–376. doi: 10.1177/0022034520972335

Table 2.

Cost-effectiveness in the Base-Case and Sensitivity Analyses.

Dentists with AI Dentists without AI
Analysis Cost (Euro) Effectiveness (y) Cost (Euro) Effectiveness (y) ICER (Euro/y)
Base case 298 (244–367) 64 (61–65) 322 (257–394) 62 (59–64) −13.9
High risk 402 (323–478) 61 (58–63) 482 (390–570) 58 (55–61) −27.1
If treating only restoratively 468 (374–564) 56 (54–60) 321 (238–383) 62 (60–64) −27.8
Dentists’ accuracy from Garcia-Cantu et al. (2020) 298 (244–367) 64 (61–65) 329 (236–402) 62 (59–64) −15.5
Low costs for AI (4.00 euro/analysis) 296 (242–351) 64 (61–65) 322 (257–394) 62 (59–64) −12.8
High costs for AI (12.00 euro/analysis) 301 (246–370) 64 (61–65) 322 (257–394) 62 (59–64) −14.8
0% teeth replaced 246 (218–275) 64 (61–65) 249 (203–284) 62 (59–64) −1.5
100% teeth replaced 310 (252–378) 64 (61–65) 339 (262–406) 62 (59–64) −14.5
Discounting rate 1% 498 (394–627) 64 (61–65) 572 (407–701) 62 (60–64) −35.9
Discounting rate 5% 209 (175–244) 64 (60–65) 214 (164–255) 62 (60–64) −2.5

Mean and 2.5% to 97.5% percentiles are shown. The rationale behind modeling an upper/lower bound of AI costs of 4.00 and 8.00 euro is provided in more detail in the Appendix. The range of replaced teeth includes the minimum and maximum possible. The range of discounting rates follows recommendations for cost-effectiveness studies in our setting (IQWiG 2009).

AI, artificial intelligence; ICER, incremental cost-effectiveness ratio.