Detecting facial characteristics of Parkinson’s disease by novel artificial intelligence (AI) softwares

• Published in: Brain Supplement Vol. 3; pp. 1 - 7
• Main Authors: Abe, Koji, Tadokoro, Koh
• Format: Journal Article
• Language: English
• Published: Japanese Society of Brain Supplement 2021; 日本脳サプリメント学会
• Subjects: artificial intelligence (AI); emotion; face; Parinson's disease; skin
• ISSN: 2434-9615
• DOI: 10.57361/brainsupplement.3.0_1

Parkinson’s disease (PD) patients usually develop facial abnormalities as a result of both motor and nonmotorimpairments. In the present study, 96 healthy Japanese control subjects and 97 Japanese PD patients wereanalyzed 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 forJapanese. The age-adjusted AI software looked age of PD patients as 2.4 years older than healthy controlsubjects (*p under 0.05). The gap between appearance age and real age was larger in male and younger PD patientsthan in female and older patients, respectively. In the AI facial emotion analysis, expressionless was obviouslymore frequent and happiness was less frequent in PD than in control (*p under 0.05). On the other hand, facial skincondition didn’t show any difference between PD and control. The present AI face recognition software thusclearly detected the facial outlook of PD corresponding to clinical expressions.