## 1 Introduction
In the works of [31; 32], utilizing neural networks for eye tracking data processing, the potential of these technologies for identifying reading disorders is highlighted, offering high efficacy and paving the way for the development of new, even more efficient diagnostic tools. Table 1 presents the main directions of existing research that utilize eye-tracking methods in diagnosing dyslexia [23; 24; 25; 26; 27; 28; 29; 30; 31; 32]. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Authors** & **Subject** & **Age** & **Experimental** & **Main Findings** \\ \hline \multirow{3}{*}{[PERSON]; et al. [23]} & 30 children with & \multirow{3}{*}{A mean age of 9.79 years and a range 7.6 to 12.1 years.} & \multirow{3}{*}{A combined EEG and eye- tracking study on children with dyslexia} & \multirow{3}{*}{Novel framework for integrative analysis of neurophysiological and eye-gaze.} \\  & 30 chronological & & & \\  & age controls & & & \\ \hline \multirow{3}{*}{[PERSON]; et al. [24]} & 36 children, 18 with & \multirow{3}{*}{8–12 years old} & \multirow{3}{*}{13 combinations of background and overlay colours} & \multirow{3}{*}{13 combinations of average and total, and longer saccade while reading on white and coloured background/overlay.} \\  & & & \begin{table}
\begin{tabular}{c c c c c} \hline
**Authors** & **Subject** & **Age** & \multicolumn{2}{c}{**Experimental**} & \multicolumn{1}{c}{**Main Findings**} \\ \hline [PERSON]; et al. [25] & 25 children, 10 boys and 15 girls & 8–9 years & This study investigated the influence of white vs. 12 background and overlay colors on the reading process. & The findings showed a decreasing trend with age regarding EEG power bands and lower scores of reading duration and eye-tracking measures in younger children compared to older children. & The review through the examination of binocular coordination in children with children with dyslexia in children with dyslexia by describing the normative development of stable binocular control. & The studies reviewed binocular coordination in children with psychiatric coordination in children with dyslexia. & The research focused on identifying features that contribute to better prediction and then build an appropriate prediction model. \\ \hline [PERSON]; & Children with dyslexia and typical development & 5–17 years & This study established a genetic algorithm optimized back-propagation neural network model to predict whether Chinese children have dyslexia. \\ \hline [PERSON], [PERSON]; et al. [27] & 399, 187 with dyslexia and 212 typically developing children & 7–13 years & These studies implemented tests evaluating reading-related cognitive skills. & The eye movements of readers with dyslexia are different from regular readers. People with dyslexia have longer reading times, make longer fixations, fixations than white dyslexia. \\ \hline [PERSON], [PERSON]; et al. [27] & 97, 49 without dyslexia (28 female, 21 male) & 11–54 years & The texts and the fonts were counter balanced to avoid sequence effects. & The eye movements of readers with dyslexia are different from regular readers. People with dyslexia have longer reading times, make longer fixations, and make more fixations than readers without dyslexia. \\ \hline [PERSON], [PERSON]; et al. [28] & 185, 97 high-risk subjects and a control group of 88 low-risk subjects. & 9–10 years & Using eye tracking during reading to probe the processes that underlie reading ability. & It is possible to identify 9–10-year-old individuals at risk of persistent reading difficulties by using eye tracking. \\ \hline \end{tabular}
\end{table} 
Table 1: Cont. In summary, the dynamic development of research on dyslexia, supported by technological progress, is changing the face of diagnosing this disorder. The use of modern tools such as eye tracking and machine learning not only increases the precision of dyslexia recognition but also helps to better understand the underlying mechanisms, opening new pathways for effective therapeutic intervention and support for individuals with this disorder.