Unique ID issued by UMIN | UMIN000033763 |
---|---|
Receipt number | R000038402 |
Scientific Title | Development of simple support tool for the diagnosis of frontotemporal lobar degeneration by speech analysis using artificial intelligence |
Date of disclosure of the study information | 2018/10/01 |
Last modified on | 2018/08/15 17:22:17 |
Development of simple support tool for the diagnosis of frontotemporal lobar degeneration by speech analysis using artificial intelligence
Development of simple support tool for the diagnosis of frontotemporal lobar degeneration
Development of simple support tool for the diagnosis of frontotemporal lobar degeneration by speech analysis using artificial intelligence
Development of simple support tool for the diagnosis of frontotemporal lobar degeneration
Japan |
FTLD
ALS
AD
Neurology |
Others
NO
Development of simple support tool for the diagnosis of frontotemporal lobar degeneration by speech analysis using artificial intelligence
Efficacy
Exploratory
Pragmatic
Not applicable
Sensitivity and specificity for diagnosis of FTLD
Observational
20 | years-old | <= |
Not applicable |
Male and Female
We will focus on cases clinically diagnosed as FTLD (bvFTD, SD, PNFA) and amyotrophic lateral sclerosis (ALS)
For comparison with FTLD, we will focus on AD patients and healthy control subjects.
We exclude cases that do not meet the diagnostic criteria.
120
1st name | |
Middle name | |
Last name | Watanabe Hirohisa |
Nagoya University
Brain and Mind Research Center
65 Tsurumai-cho, Showa-ku, Nagoya
052-744-1975
bmrc@adm.nagoya-u.ac.jp
1st name | |
Middle name | |
Last name | Kato Toshiyasu |
Nagoya University
Department of Neurology
65 Tsurumai-cho, Showa-ku, Nagoya
052-741-2111
kato.toshiyasu@g.mbox.nagoya-u.ac.jp
Nagoya University
Department of Neurology
Japan Agency for Medical Research and Development
Japanese Governmental office
NO
2018 | Year | 10 | Month | 01 | Day |
Unpublished
Preinitiation
2018 | Year | 08 | Month | 11 | Day |
2018 | Year | 10 | Month | 01 | Day |
By recording and evaluating the sound of the patients with FTD and its related diseases, we will develop an evaluation tool that is useful for the early diagnosis of FTD.
2018 | Year | 08 | Month | 15 | Day |
2018 | Year | 08 | Month | 15 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000038402