Verification of refractive values for different ocular refraction techniques and construction of prediction models using artificial intelligence

Verification of refractive values for different ocular refraction techniques and construction of prediction models using artificial intelligence - Verification of refractive values for different ocular refraction techniques and construction of prediction models using artificial intelligence

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000042580

Enrollment

Registered

2021-04-01

Start date

2021-01-12

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

Refractive error

Interventions

Subjective, altruistic refractive measurement,Accommodation,Pupil Distance.

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Corrected vision 1.0 or better

Exclusion criteria

Exclusion criteria: Ocular diseases

Design outcomes

Primary

Measure	Time frame
Gender, date of birth, daily refractive method and condition, current and previous ophthalmological history, naked visual acuity, corrected visual acuity (including in downward vision), interpupillary distance, adjustment ability, subjective and other refractive values	—

Countries

Japan

Contacts

Public ContactTakushi Kawamorita

Kitasato University Department of Orthoptics and Visual Science

kawa2008@kitasato-u.ac.jp0427789662

Outcome results

None listed

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