FE	Finite element
ISQ	Implant stability quotient
NN	Neural network
FEA	Finite element analysis
DLN	Deep learning network
CNN	Convolutional neural networks
ANN	Artificial neural network
ROC	Receiver operating characteristic curve
AUC	Area under curve
BA	Bone area
BIC	Bone implant contact
DTD	Deep Taylor decomposition
LRP	Layer-wise relevance propagation
MAE	Mean absolute error
KL	Kullback–Leibler
$p$ and $q$	Probability distributions
$E$	Expectation value
x	Material properties images input
$\widehat{y}$	Boundary condition input
$z$	Mechanical responses images output
F	Force magnitude
$S$	Biophysical stimulus
γ	Octahedral shear strain
$\mathrm{\nu }$	Fluid flow
a and b	Solid and fluid stimuli
$X_{\mathrm{e}\mathrm{f}\mathrm{f}}$	Effective material properties
$X_{\mathrm{g}\mathrm{r}\mathrm{a}\mathrm{n}\mathrm{u}\mathrm{l}\mathrm{a}\mathrm{t}\mathrm{i}\mathrm{o}\mathrm{n}}$	Granulation tissue
$X_{\mathrm{t}\mathrm{i}\mathrm{s}\mathrm{s}\mathrm{u}\mathrm{e}}$	Differentiated tissue phenotype