A study of AI conversation in telemedicine for Parkinson's disease
- Conditions
- Parkinson's disease
- Registration Number
- JPRN-UMIN000039698
- Lead Sponsor
- Juntendo University
- Brief Summary
A repeated-measures analysis of variance revealed that the chatbot conversations had a significant interaction effect on the mean and standard deviation of the smile index during smile sections(both P=0.02), maximum duration of the initial rise of the smile index(P=0.04), and frequency of filler words(P=0.04).Explorative analysis using statistical and machine-learning models revealed that the smile indices and several speech features were associated with motor symptoms, cognition, and mood in PD.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up complete
- Sex
- All
- Target Recruitment
- 20
Not provided
1, Patients who have been diagnosed with dementia (MMSE less than 20 points) 2, Patients who have a trouble to hear the sound of the iPad 3, In addition,patients who are judges by the investigation to be inappropriate as subjects
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Sound parameters and Facial expression features during the talking between the subject and the doctor.
- Secondary Outcome Measures
Name Time Method