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A Review of Artificial Intelligence-Based Dyslexia Detection Techniques
16 references·0 citing·39 second hop
A Review of Artificial Intelligence-Based Dyslexia Detection Techniques (2024)A Review of Artificial Intelligence-Based…Deep Learning Applications for Dyslexia Prediction (2023)Deep Learning Applications fo…How to properly use the PRISMA Statement (2021)How to properly use the PRISM…Detection of developmental dyslexia with machine learning using eye movement data (2021)Detection of developmental dy…Advance Machine Learning Methods for Dyslexia Biomarker Detection: A Review of Implementation Details and Challenges (2021)Advance Machine Learning Meth…Dyslexia detection using 3D convolutional neural networks and functional magnetic resonance imaging (2020)Dyslexia detection using 3D c…Developmental dyslexia detection using machine learning techniques : A survey (2020)Developmental dyslexia detect…Machine learning Classification of Dyslexic Children based on EEG Local Network Features (2019)Machine learning Classificati…Screening Dyslexia for English Using HCI Measures and Machine Learning (2018)Screening Dyslexia for Englis…Interventions for children with dyslexia: A review on current intervention methods. (2018)Interventions for children wi…Neuroanatomy of developmental dyslexia: Pitfalls and promise (2017)Neuroanatomy of developmental…Diagnosis of Dyslexia using computation analysis (2017)Diagnosis of Dyslexia using c…Screening for Dyslexia Using Eye Tracking during Reading (2016)Screening for Dyslexia Using …Multi-parameter machine learning approach to the neuroanatomical basis of developmental dyslexia (2016)Multi-parameter machine learn…Machine learning and dyslexia: Classification of individual structural neuro-imaging scans of students with and without dyslexia (2016)Machine learning and dyslexia…Disrupted white matter connectivity underlying developmental dyslexia: A machine learning approach (2016)Disrupted white matter connec…Magnetic Resonance Imaging Findings for Dyslexia: A Review (2014)Magnetic Resonance Imaging Fi…The nature of phonological processing and its causal role in the acquisition of reading skills. (1987)Manual for Raven's progressive matrices and vocabulary scales (1998)Decoding mental states from brain activity in humans (2006)Integrating MRI brain imaging studies of pre-reading children with current theories of developmental dyslexia: a review and quantitative meta-analysis (2016)Individualized Prediction of Reading Comprehension Ability Using Gray Matter Volume (2017)Specific contributions of phonological abilities to early reading acquisition: Results from a Dutch latent variable longitudinal study. (1999)Developmental dyslexia: The visual attention span deficit hypothesis (2006)The unique role of the visual word form area in reading (2011)Cytoarchitectonic abnormalities in developmental dyslexia: A case study (1979)Developmental dyslexia: Four consecutive patients with cortical anomalies (1985)A definition of dyslexia (2003)Left hemisphere enhancement of auditory activation in language impaired children (2019)Prediction of dyslexia severity levels from fixation and saccadic eye movement using machine learning (2022)A theory of reading: From eye fixations to comprehension. (1980)Eye movements in reading and information processing: 20 years of research. (1998)The 35th Sir Frederick Bartlett Lecture: Eye movements and attention in reading, scene perception, and visual search (2009)Predicting risk of dyslexia with an online gamified test (2020)G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)Power failure: why small sample size undermines the reliability of neuroscience (2013)International Statistical Classification of Diseases and Related Health Problems (2014)Are specific learning disorders truly specific, and are they disorders? (2019)Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia (2020)Detecting readers with dyslexia using machine learning with eye tracking measures (2015)Identifying dyslexia in school pupils from eye movement and demographic data using artificial intelligence (2023)Identification and Classification of Learning Disabilities Using Machine Learning Approaches: A Meta‐Analysis (2026)Language Comprehension in Language-Learning Impaired Children Improved with Acoustically Modified Speech (1996)To see but not to read; the magnocellular theory of dyslexia (1997)Comprehensive Test of Phonological Processing (2001)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Reprint—Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Accessible Dyslexia Detection with Real-Time Reading Feedback through Robust Interpretable Eye-Tracking Features (2023)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Harnessing the Power of ChatGPT for Automating Systematic Review Process: Methodology, Case Study, Limitations, and Future Directions (2023)Sensitivity analysis approaches in multi-criteria decision analysis: A systematic review (2023)Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective (2024)Foundation literacy acquisition in European orthographies (2003)Specific reading disability (dyslexia): what have we learned in the past four decades? (2004)Spatiotemporal Eye-Tracking Feature Set for Improved Recognition of Dyslexic Reading Patterns in Children (2022)
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References

  • 2021How to properly use the PRISMA Statement1,100 cited
  • 2016Screening for Dyslexia Using Eye Tracking during Reading266 cited
  • 2017Neuroanatomy of developmental dyslexia: Pitfalls and promise187 cited
  • 2016Disrupted white matter connectivity underlying developmental dyslexia: A machine learning approach173 cited
  • 2021Advance Machine Learning Methods for Dyslexia Biomarker Detection: A Review of Implementation Details and Challenges93 cited
  • 2016Machine learning and dyslexia: Classification of individual structural neuro-imaging scans of students with and without dyslexia86 cited
  • 2016Multi-parameter machine learning approach to the neuroanatomical basis of developmental dyslexia72 cited
  • 2020Dyslexia detection using 3D convolutional neural networks and functional magnetic resonance imaging68 cited
  • 2020Developmental dyslexia detection using machine learning techniques : A survey66 cited
  • 2021Detection of developmental dyslexia with machine learning using eye movement data66 cited
  • 2017Diagnosis of Dyslexia using computation analysis63 cited
  • 2018Screening Dyslexia for English Using HCI Measures and Machine Learning57 cited
  • 2023Deep Learning Applications for Dyslexia Prediction53 cited
  • 2014Magnetic Resonance Imaging Findings for Dyslexia: A Review48 cited

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  • 2019Machine learning Classification of Dyslexic Children based on EEG Local Network Features47 cited
  • 2018Interventions for children with dyslexia: A review on current intervention methods.40 cited
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