[HTML][HTML] A Review of Artificial Intelligence-Based Dyslexia Detection Techniques

Y Alkhurayyif, ARW Sait - Diagnostics, 2024 - mdpi.com
Problem: Dyslexia is a learning disorder affecting an individual's ability to recognize words
and understand concepts. It remains underdiagnosed due to its complexity and …

Data Protection Issues in Automated Decision-Making Systems Based on Machine Learning: Research Challenges

P Christodoulou, K Limniotis - Network, 2024 - mdpi.com
Data protection issues stemming from the use of machine learning algorithms that are used
in automated decision-making systems are discussed in this paper. More precisely, the main …

Deep learning-driven dyslexia detection model using multi-modality data

Y Alkhurayyif, ARW Sait - PeerJ Computer Science, 2024 - peerj.com
Background Dyslexia is a neurological disorder that affects an individual's language
processing abilities. Early care and intervention can help dyslexic individuals succeed …

Multi-Modal Dyslexia Detection Model via SWIN Transformer with Closed-Form Continuous Time Networks

Y Alkhurayyif, ARW Sait - IEEE Access, 2024 - ieeexplore.ieee.org
Dyslexia is a condition that reduces the cognitive abilities of the individuals. Dyslexic
individuals (DI) face challenges in recognizing letters and words. Healthcare centers employ …

Enhanced Special Needs Assessment: A Multimodal Approach for Autism Prediction

S Sellamuthu, S Rose - IEEE Access, 2024 - ieeexplore.ieee.org
Autism spectrum disorder (ASD) poses significant challenges in early detection,
necessitating innovative approaches for accurate identification. In this study, we propose a …

Towards a Reliable French Speech Recognition Tool for an Automated Diagnosis of Learning Disabilities

J Rezgui, F Jobin, Y Kechout… - … Conference on Smart …, 2024 - ieeexplore.ieee.org
Dyslexia, characterized by severe challenges in reading and spelling acquisition, presents a
substantial barrier to proficient literacy, resulting in significantly reduced reading speed (2 to …

Understanding dyslexia and the potential of artificial intelligence in detecting neurocognitive impairment in dyslexia

SA Ali, H Nisar, NA Ab Aziz, NA Fadzil… - Artificial Intelligence and …, 2025 - Elsevier
Dyslexia is a specific learning disorder that affects reading and writing abilities. Children
with dyslexia are typically diagnosed during their primary school years, typically between the …

Deep Learning for Dyslexia Detection: A Comprehensive CNN Approach with Handwriting Analysis and Benchmark Comparisons

G Aldehim, M Rashid, AS Alluhaidan… - Journal of Disability …, 2024 - scienceopen.com
Dyslexia is a complex learning disorder that affects neurological nerves in the brain and
makes reading and writing difficult; therefore, early diagnosis for effective interventions …

THE IMPACT OF AI ON EARLY INTERVENTION AND EDUCATION OF CHILDREN WITH DYSLEXIA

D Lopez, S Rangappa - EDULEARN24 Proceedings, 2024 - library.iated.org
Numerous gaps in present procedures of identifying dyslexia are the driving force behind
the research desire to examine the function of AI in early identification and intervention for …