# Personalization of the 3D-Printed Upper Limb Exoskeleton Design--Mechanical and IT Aspects
## 3 Results  
The tool used in the study (AGREE II) provides a framework for assessing guideline quality, provides a methodological strategy for guideline development and determines what information should be provided in the guidelines and how. According to expert consensus, the main areas of personalization of the upper limb exoskeleton especially due to Aluse can include (Figure 1):  
* Personalized selection and optimization of materials for the exoskeleton, including in terms of weight, mechanical properties (flexibility, including preprogrammed in different directions) and chemical properties (contact with tissue and body fluids);
* Individual functional assessment and AI-based selection of exoskeleton model/settings to the type and level of deficit/deficits in a particular patient;
* Patient-tailored template-based exoskeleton design;
* 3D printing optimized due to AI use for material consumption and waste (preferring green technologies);
* Individual settings of the exoskeleton control system, AI mediated;* Exoskeleton testing and adjustment (Table 1). \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline  & \multicolumn{8}{c}{**Domain 1: Scope and Purpose**} \\ \hline  & \begin{tabular}{c} **Item** \\ **1** \\ \end{tabular} & \
\begin{tabular}{c} **Item** \\ **2** \\ \end{tabular} &
\begin{tabular}{c} **Item** \\ **3** \\ \end{tabular} & - & - & - & - & - & **Total** \\ \hline Appraiser & & & & & & & & & & \\
1 & 5 & 6 & 6 & - & - & - & - & - & 17 \\ \hline Appraiser & & & & & & & & & & & \\
2 & 6 & 6 & 7 & - & - & - & - & - & 19 \\ \hline Total & 11 & 12 & 13 & - & - & - & - & - & 36 \\ \hline \multicolumn{8}{c}{Scaled domain score: 36/42 (85.71\%)} \\ \hline  & \multicolumn{8}{c}{**Domain 2: Stakeholder involvement**} \\ \hline  & \begin{tabular}{c} **Item** \\ **4** \\ \end{tabular} & \
\begin{tabular}{c} **Item** \\ **5** \\ \end{tabular} &
\begin{tabular}{c} **Item** \\ **6** \\ \end{tabular} & - & - & - & - & - & **Total** \\ \hline Appraiser & & & & & & & & & \\
1 & 5 & 5 & 6 & - & - & - & - & 16 \\ \hline Appraiser & & & & & & & & & \\
2 & 5 & 6 & 6 & - & - & - & - & - & 17 \\ \hline Total & 10 & 11 & 12 & - & - & - & - & - & 33 \\ \hline \multicolumn{8}{c}{Scaled domain score: 33/42 (78.57\%)} \\ \hline  & \multicolumn{8}{c}{**Domain 3: Rigor of development**} \\ \hline  & \begin{tabular}{c} **Item** \\ **7** \\ \end{tabular} & \begin{tabular}{c} **Item** \\ **8** \\ \end{tabular} & \begin{tabular}{c} **Item** \\ **9** \\ \end{tabular} & \begin{tabular}{c} **Item** \\ **10** \\ \end{tabular} & \begin{tabular}{c} **Item** \\ **11** \\ \end{tabular} & \begin{tabular}{c} **Item** \\ **12** \\ \end{tabular} & \begin{tabular}{c} **Item** \\ **13** \\ \end{tabular} & \
\begin{tabular}{c} **Item** \\ **14** \\ \end{tabular} &
\begin{tabular}{c} **Total** \\ **Total** \\ \end{tabular} \\ \hline Appraiser & & & & & & & & & & \\
1 & 5 & 5 & 6 & 5 & 5 & 6 & 5 & 5 & 42 \\ \hline Appraiser & & & & & & & & & \\
2 & 5 & 6 & 6 & 5 & 6 & 5 & 6 & 45 \\ \hline Total & 10 & 11 & 12 & 10 & 11 & 12 & 10 & 11 & 87 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Scores of appraisal according to the AGREE II. Figure 1: Basic areas of upper limb exoskeleton personalizationespecially due to AI use. All domains scored above 70%, indicating a lack of prioritization of a single domain. Most of the above-mentioned solutions can be effectively supported by artificial intelligent solutions, primarily data-driven approaches, i.e., machine learning (ML)--both traditional artificial neural networks and deep learning, and also fuzzy logic, multifractal analysis or random forests. Wisely and planned AI-based solutions will allow for almost leapfrogging improvements in efficiency while keeping data and processes safe (so-called ethical AI) and avoiding a significant proportion of risks (including the so-called black box).