Artificial Intelligence-assisted evaluation of ocular blood flow in diabetic patients using laser speckle flowgraphy

Artificial Intelligence-assisted evaluation of ocular blood flow in diabetic patients using laser speckle flowgraphy - AI analysis of LSFG in DM

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000043409

Enrollment

500

Registered

2021-02-22

Start date

2020-08-13

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 diagnosed with diabetes mellitus

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Subjects diagnosed with diabetes whose ocular circulation could be measured by laser speckle flowgraphy.

Exclusion criteria

Exclusion criteria: Subjects whose ocular circulation could not be measured by laser speckle flowgraphy.

Design outcomes

Primary

Measure	Time frame
Evaluation, using artificial intelligence, of the relationship between age, gender, blood pressure, visual acuity, refraction, intraocular pressure, body mass index, pulse wave velocity and LSFG items.	—

Countries

Japan

Contacts

Public ContactSeiji Takagi

School of Medicine, Toho University Ophthalmology

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

Outcome results