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

Frailty Detection, Assessment and Prediction (210) New Methods (1715) mHealth for Screening (439) Dementia and Cognitive Decline (852) Machine Learning (2984) Aging in Place (492) Computer-Aided Diagnosis (400)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73074, first published .
Elderly man with glasses writing in a planner at a kitchen table

Handwriting in Mild Cognitive Impairment: Reliability Assessment and Machine Learning–Based Screening

Handwriting in Mild Cognitive Impairment: Reliability Assessment and Machine Learning–Based Screening

Authors of this article:

Simone Toffoli1 Author Orcid Image ;   Carlo Abbate2 Author Orcid Image ;   Francesca Lunardini3 Author Orcid Image ;   Edoardo Corno1 Author Orcid Image ;   Nicholas Diani2 Author Orcid Image ;   Alessia Gallucci2 Author Orcid Image ;   Emanuele Tomasini2 Author Orcid Image ;   Pietro Davide Trimarchi2 Author Orcid Image ;   Simona Ferrante1, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Ferrer-Ramos P, Faundez-Zanuy M, Serra-Payá N, Garnacho-Castaño M, Girabent-Farrés M. Digital Handwriting Kinematics and Physical Performance According to Pentagon-Copy Performance in Community-Dwelling Older Adults: Cross-Sectional Study. JMIR Aging 2026;9:e85074 View
  2. Galrinho J, Fernandes O, Silva A, Gonçalves-Montera M, Matias A. Handwriting speed and pen motor control in older adults with and without cognitive impairment. Frontiers in Human Neuroscience 2026;20 View