Unique ID issued by UMIN | UMIN000042580 |
---|---|
Receipt number | R000048598 |
Scientific Title | Verification of refractive values for different ocular refraction techniques and construction of prediction models using artificial intelligence |
Date of disclosure of the study information | 2021/04/01 |
Last modified on | 2021/12/01 17:14:02 |
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
Verification of refractive values for different ocular refraction techniques and construction of prediction models using artificial intelligence
Japan |
Refractive error
Ophthalmology |
Others
NO
Nowadays,refractive correction, such as eyeglasses,not only improves vision, but also requires faster and more accurate methodologies to be established. However, it is not clear how much the values vary between methods and other factors, and whether expensive equipment is truly accurate in its measurement. In addition, patients and eyeglass purchasers may find it troublesome to measure subjective refractive values by responding to repeated questions while changing lenses.
In addition, the current practice of adjusting eyeglass power to a weaker value based on the experience of the wearer and expecting the central system to adapt to the eyeglass after the wearer has worn it is a highly uncertain method. As a result, it takes a lot of time to determine a comfortable pair of eyeglasses, and if they still do not fit, it is not uncommon for inefficiencies to result in the replacement of the lenses.
Therefore, we aim to establish a highly accurate methodology in a shorter period of time by verifying refractive values for different ocular refraction testing methods and building a prediction model using artificial intelligence.
Safety,Efficacy
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
Interventional
Single arm
Non-randomized
Open -no one is blinded
Self control
1
Prevention
Device,equipment |
Subjective, altruistic refractive measurement,Accommodation,Pupil Distance.
20 | years-old | <= |
79 | years-old | >= |
Male and Female
Corrected vision 1.0 or better
Ocular diseases
40
1st name | Takushi |
Middle name | Kawamorita |
Last name | Kawamorita |
Kitasato University
Department of Orthoptics and Visual Science
252-0373
1-15-1 Kitasato, Minami-ku, Sagamihara City, Kanagawa, Japan 252-0373
0427789662
kawa2008@kitasato-u.ac.jp
1st name | Takushi |
Middle name | |
Last name | Kawamorita |
Kitasato University
Department of Orthoptics and Visual Science
252-0373
1-15-1 Kitasato, Minami-ku, Sagamihara City, Kanagawa, Japan 252-0373
0427789662
kawa2008@kitasato-u.ac.jp
The Kitasato Institute
HOYA Corporation.
Profit organization
Kitasto University Hospital,
IRB Office
042-778-9602
a-soumu@kitasato-u.ac.jp
NO
2021 | Year | 04 | Month | 01 | Day |
Unpublished
Main results already published
2020 | Year | 04 | Month | 01 | Day |
2021 | Year | 01 | Month | 12 | Day |
2021 | Year | 01 | Month | 12 | Day |
2023 | Year | 03 | Month | 31 | Day |
2020 | Year | 11 | Month | 27 | Day |
2021 | Year | 12 | Month | 01 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000048598