The present study sought to identify the cognitive features and speech features that might distinguish cerebral infarction patients by using artificial intelligence. A total of 117 patients were divided into the lacunar group, non-lacunar cerebral infarction group, and control group from Anhui No.2 Provincial People’s Hospital. The cognitive features were created from the Chinese version of Montreal Cognitive Assessment Basic (MoCA-B) and the speech features were created from the cookie theft picture description task. Cerebral infarction patients, including lacunar and non-lacunar groups, had lower cognitive scores than the control group, with the non-lacunar group performing more poorly. The fluency task showed significant differences among the three groups, with the non-lacunar cerebral infarction group differing most from the control group. Non-lacunar and lacunar cerebral infarction groups performed worse than the control group in memory tasks, with the non-lacunar infarction group performing more poorly. Artificial intelligence technology was used to analyze speech data from patients completing tasks, revealing differences in acoustic features between the non-lacunar and lacunar cerebral infarction groups. Cognitive performance is a important distinguishing features of cerebral infarction. Some acoustic features may play an important role in distinguishing lacunar infarction from non-lacunar infarction.
Niu et al. (Sat,) studied this question.