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 by speech analysis using artificial intelligence - Development of simple support tool for the diagnosis of frontotemporal lobar degeneration

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000033763

Enrollment

120

Registered

2018-10-01

Start date

2018-10-01

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

FTLD ALS AD

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 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.

Exclusion criteria

Exclusion criteria: We exclude cases that do not meet the diagnostic criteria.

Design outcomes

Primary

Measure	Time frame
Sensitivity and specificity for diagnosis of FTLD	—

Countries

Japan

Contacts

Public ContactKato Toshiyasu

Nagoya University Department of Neurology

kato.toshiyasu@g.mbox.nagoya-u.ac.jp052-741-2111

Outcome results