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Artificial Intelligence(AI) analysis of laser speckle flowgraphy data of healthy subjects

Artificial Intelligence(AI) analysis of laser speckle flowgraphy data of healthy subjects - AI analysis of LSFG data of healthy subjects

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000043408
Enrollment
1082
Registered
2021-02-22
Start date
2020-07-27
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

Subjects of thorough medical checkup(UMIN000026778)

Interventions

None listed

Sponsors

Toho University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Subjects who could be measured ocular circulation by Laser speckle flowgraphy.

Exclusion criteria

Exclusion criteria: Subjects who could not be measured ocular circulation by Laser speckle flowgraphy.

Design outcomes

Primary

MeasureTime frame
Evaluation of the classification and prediction performance of the subjects' background (age, gender, blood pressure, visual acuity, intraocular pressure, etc.) using machine learning of the features extracted from the LSFG time series data.

Countries

Japan

Contacts

Public ContactSeiji Takagi

School of Medicine, Toho University Ophthalmology

seiji.takagi@med.toho-u.ac.jp03-3761-4151

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026