This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1520) Diagnostic Tools in Mental Health (322) Innovations in Mental Health Systems (479) Neurology and Neurosciences (282) Machine Learning (2051) Computer-Aided Diagnosis (243) AI in Neurotechnology (9)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31106, first published .
A Digital Screening System for Alzheimer Disease Based on a Neuropsychological Test and a Convolutional Neural Network: System Development and Validation

A Digital Screening System for Alzheimer Disease Based on a Neuropsychological Test and a Convolutional Neural Network: System Development and Validation

A Digital Screening System for Alzheimer Disease Based on a Neuropsychological Test and a Convolutional Neural Network: System Development and Validation

Authors of this article:

Wen-Ting Cheah1 Author Orcid Image ;   Jwu-Jia Hwang1 Author Orcid Image ;   Sheng-Yi Hong1 Author Orcid Image ;   Li-Chen Fu1 Author Orcid Image ;   Yu-Ling Chang2 Author Orcid Image ;   Ta-Fu Chen3 Author Orcid Image ;   I-An Chen4 Author Orcid Image ;   Chun-Chen Chou4 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

Journals

  1. Wang Y, Chen T, Wang C, Ogihara A, Ma X, Huang S, Zhou S, Li S, Liu J, Li K. A New Smart 2-Min Mobile Alerting Method for Mild Cognitive Impairment Due to Alzheimer’s Disease in the Community. Brain Sciences 2023;13(2):244 View
  2. Ding Z, Lee T, Chan A. Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review. Journal of Clinical Medicine 2022;11(14):4191 View
  3. Park J, Seo E, Yoon H, Won S, Lee K. Automating Rey Complex Figure Test scoring using a deep learning-based approach: a potential large-scale screening tool for cognitive decline. Alzheimer's Research & Therapy 2023;15(1) View
  4. Ahmadsaraei M, Bastanfard A, Amini A. Child psychological drawing pattern detection on OBGET dataset, a case study on accuracy based on MYOLO v5 and MResNet 50. Multimedia Tools and Applications 2023;83(13):39283 View
  5. Fu J, Qin Y, Xiao L, Dai X. Causal relationship between gut microflora and dementia: a Mendelian randomization study. Frontiers in Microbiology 2024;14 View
  6. Cabrera-León Y, Báez P, Fernández-López P, Suárez-Araujo C. Neural Computation-Based Methods for the Early Diagnosis and Prognosis of Alzheimer’s Disease Not Using Neuroimaging Biomarkers: A Systematic Review. Journal of Alzheimer’s Disease 2024;98(3):793 View
  7. Magno M, Martins A, Pais J, Silva A, Rocha N. Diagnostic Accuracy of Digital Solutions for Screening for Cognitive Impairment: A Systematic Review and Meta-Analysis. Applied Sciences 2024;14(6):2640 View
  8. Jiang Z, Seyedi S, Vickers K, Manzanares C, Lah J, Levey A, Clifford G. Disentangling Visual Exploration Differences in Cognitive Impairment. IEEE Transactions on Biomedical Engineering 2024;71(4):1197 View
  9. Cornacchia E, Bonvino A, Scaramuzzi G, Gasparre D, Simeoli R, Marocco D, Taurisano P. Digital Screening for Early Identification of Cognitive Impairment: A Narrative Review. WIREs Cognitive Science 2025;16(4) View
  10. Um Din N, Maronnat F, Zolnowski-Kolp V, Otmane S, Belmin J. Diagnosis accuracy of touchscreen-based testings for major neurocognitive disorders: a systematic review and meta-analysis. Age and Ageing 2025;54(7) View
  11. Um Din N, Maronnat F, Oquendo B, Pariel S, Lafuente-Lafuente C, Badra F, Belmin J. Diagnostic Accuracy of Touchscreen-Based Tests for Mild Cognitive Disorders: A Systematic Review and Meta-Analysis. Diagnostics 2025;15(18):2383 View
  12. Bonvino A, Cornacchia E, Scaramuzzi G, Gasparre D, Manippa V, Rivolta D, Taurisano P. Digital Tools for Mild Cognitive Impairment: A Systematic Review and Meta-analysis of Diagnostic Accuracy and Methodological Challenges. Neuropsychology Review 2025 View
  13. Lee A, Zhao B, Lah J, John S, Loring D, Mitchell C. Education, Sex, and Age Shape Rey Complex Figure Performance in Cognitively Normal Adults: An Interpretable Machine Learning Study. Journal of Clinical Medicine 2025;14(21):7562 View

Books/Policy Documents

  1. Bhimavarapu U. Transforming Neuropsychology and Cognitive Psychology With AI and Machine Learning. View