An Artificial Intelligence-Assisted Method for Dementia Detection Using Images from the Clock Drawing Test | Zendy

Samad Amini | Zendy; Lifu Zhang | Zendy; Boran Hao | Zendy; Aman Gupta | Zendy; Mengting Song | Zendy; Cody Karjadi | Zendy; Honghuang Lin | Zendy; Vijaya B. Kolachalama | Zendy; Rhoda Au | Zendy; Ioannis Ch. Paschalidis | Zendy

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An Artificial Intelligence-Assisted Method for Dementia Detection Using Images from the Clock Drawing Test

Author(s) -

Samad Amini,

Lifu Zhang,

Boran Hao,

Aman Gupta,

Mengting Song,

Cody Karjadi,

Honghuang Lin,

Vijaya B. Kolachalama,

Rhoda Au,

Ioannis Ch. Paschalidis

Publication year - 2021

Publication title -

journal of alzheimer s disease

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.677

H-Index - 139

eISSN - 1875-8908

pISSN - 1387-2877

DOI - 10.3233/jad-210299

Subject(s) - dementia , artificial intelligence , logistic regression , receiver operating characteristic , machine learning , test (biology) , computer science , cognition , psychology , medicine , psychiatry , disease , paleontology , biology

Widespread dementia detection could increase clinical trial candidates and enable appropriate interventions. Since the Clock Drawing Test (CDT) can be potentially used for diagnosing dementia-related disorders, it can be leveraged to develop a computer-aided screening tool.

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