脳サプリメント学会誌
Online ISSN : 2434-9615
Detecting facial characteristics of Parkinson’s disease by novel artificial intelligence (AI) softwares
Koh TadokoroKoji Abe
著者情報
ジャーナル オープンアクセス

2021 年 3 巻 p. 1-7

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抄録
Parkinson’s disease (PD) patients usually develop facial abnormalities as a result of both motor and nonmotor impairments. In the present study, 96 healthy Japanese control subjects and 97 Japanese PD patients were analyzed for the facial appearance age, emotion and skin condition by novel artificial intelligence (AI) softwares. Because an appearance age of our Asian subjects was younger than their real age, we newly adjusted it for Japanese. The age-adjusted AI software looked age of PD patients as 2.4 years older than healthy control subjects (*p under 0.05). The gap between appearance age and real age was larger in male and younger PD patients than in female and older patients, respectively. In the AI facial emotion analysis, expressionless was obviously more frequent and happiness was less frequent in PD than in control (*p under 0.05). On the other hand, facial skin condition didn’t show any difference between PD and control. The present AI face recognition software thus clearly detected the facial outlook of PD corresponding to clinical expressions.
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© 2021 Japanese Society of Brain Supplement
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