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

Formative Evaluation of Digital Health Interventions (2828) Mobile Health (mhealth) (3162) Dementia and Cognitive Decline (591) mHealth for Data Collection and Research (1083)

Published on in Vol 6, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37014, first published .
Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets

Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets

Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets

Authors of this article:

Yasunori Yamada1 Author Orcid Image ;   Kaoru Shinkawa1 Author Orcid Image ;   Masatomo Kobayashi1 Author Orcid Image ;   Varsha D Badal2, 3 Author Orcid Image ;   Danielle Glorioso2, 3 Author Orcid Image ;   Ellen E Lee2, 3, 4 Author Orcid Image ;   Rebecca Daly2, 3 Author Orcid Image ;   Camille Nebeker5 Author Orcid Image ;   Elizabeth W Twamley2, 3, 4 Author Orcid Image ;   Colin Depp2, 3 Author Orcid Image ;   Miyuki Nemoto6 Author Orcid Image ;   Kiyotaka Nemoto6 Author Orcid Image ;   Ho-Cheol Kim7 Author Orcid Image ;   Tetsuaki Arai6 Author Orcid Image ;   Dilip V Jeste2, 3, 8 Author Orcid Image
Article Authors Cited by (11) Tweetations (9) Metrics

Journals

  1. Yamada Y, Kobayashi M, Shinkawa K, Nemoto M, Ota M, Nemoto K, Arai T. Characteristics of Drawing Process Differentiate Alzheimer’s Disease and Dementia with Lewy Bodies. Journal of Alzheimer's Disease 2022;90(2):693 View
  2. Yoon H, Ahn M. Quantification of Movement Error from Spiral Drawing Test. Sensors 2023;23(6):3043 View
  3. Zhang W, Zheng X, Tang Z, Wang H, Li R, Xie Z, Yan J, Zhang X, Yu Q, Wang F, Li Y. Combination of Paper and Electronic Trail Making Tests for Automatic Analysis of Cognitive Impairment: Development and Validation Study. Journal of Medical Internet Research 2023;25:e42637 View
  4. Zhang X, Lv L, Shen J, Chen J, Zhang H, Li Y. A tablet-based multi-dimensional drawing system can effectively distinguish patients with amnestic MCI from healthy individuals. Scientific Reports 2024;14(1) View
  5. Teng Z. Novel Development and Prospects in Pathogenesis, Diagnosis, and Therapy of Alzheimer’s Disease. Journal of Alzheimer's Disease Reports 2024;8(1):345 View
  6. Bernal M, Batista E, Martínez-Ballesté A, Solanas A. Artificial intelligence for the study of human ageing: a systematic literature review. Applied Intelligence 2024;54(22):11949 View
  7. Bernal M, Batista E, Martínez-Ballesté A, Solanas A. A functional approach to model intrinsic capacity in ageing trajectories. Scientific Reports 2025;15(1) View

Conference Proceedings

  1. Yamada Y, Kobayashi M, Shinkawa K, Nemoto M, Ota M, Nemoto K, Arai T. 2022 IEEE International Conference on Digital Health (ICDH). Automated Analysis of Drawing Process for Detecting Prodromal and Clinical Dementia View
  2. Wen B, Siu V, Buleje I, Hsieh K, Itoh T, Zimmerli L, Hinds N, Eyigoz E, Dang B, von Cavallar S, Rogers J. 2022 IEEE International Conference on Digital Health (ICDH). Health Guardian Platform: A technology stack to accelerate discovery in Digital Health research View
  3. Yamada Y, Kobayashi M, Shinakwa K, Nemoto M, Ota M, Nemoto K, Arai T. 2024 IEEE International Conference on Digital Health (ICDH). Digital Measures of Drawing Process to Predict Multiple Cognitive and Gait Measures in Older Adults View
  4. Nemoto M, Yamada Y, Shinakwa K, Kobayashi M, Ota M, Nemoto K, Arai T. 2024 IEEE International Conference on Digital Health (ICDH). An exploratory analysis of the associations between accelerometer-derived measures and future health-related changes in older adults: preliminary results on prospective cohort study View