Sample size calculation for intraclass correlation coefficient (ICC)

I’m a radiology trainee so my statistical background is not so solid. I want to design a study when I’ll be comparing three measurements of a variable in imaging obtained in magnetic resonance and then compute an ICC as a measure of agreement since I’ll be obtaining a continuous measurement. This is a novel type of measurements and related to the artificial intelligence field so I have no prior data to compare with. I’m expecting to obtain a clinical useful ICC if this is at least between 0.75 and 0.9 and I’m basing my opinion on the following two papers: ref1, ref2

I used R with the package ICC.sample.size and this is my result

ICC.Sample.Size::calculateIccSampleSize(p=0.75, p0 = 0, k = 3, by = "p", step = 0.1)
[[1]]
  N    p p0 k alpha tails power
1 6 0.75  0 3  0.05     2   0.8

[[2]]
     p   N
1  0.0 Inf
2  0.1 286
3  0.2  77
4  0.3  36
5  0.4  21
6  0.5  14
7  0.6  10
8  0.7   7
9  0.8   5
10 0.9   4
11 1.0   2

Given this result can I assume that with 30 patient (my actual sample size) I have enough power to detect an ICC of at least 0.75?