Unique ID issued by UMIN | UMIN000043831 |
---|---|
Receipt number | R000050023 |
Scientific Title | Screening for keratoconus using Smartphone and artificial intelligence |
Date of disclosure of the study information | 2021/04/03 |
Last modified on | 2021/04/03 14:16:27 |
Screening for keratoconus using Smartphone and artificial intelligence
Screening for keratoconus using Smartphone and artificial intelligence
Screening for keratoconus using Smartphone and artificial intelligence
Screening for keratoconus using Smartphone and artificial intelligence
Japan |
Keratoconus
Ophthalmology | Adult | Child |
Others
NO
To investigate the possibility for screening of keratoconus by photographs taken with the camera of smartphones and machine learning.
Efficacy
Evaluation of corneal phtographs by machine learning
Observational
10 | years-old | <= |
50 | years-old | >= |
Male and Female
Those who are diagnosed to have keratoconus by cornea tomography/topography
Those who reveal other ocular surface diseases or diseases of eye lid, such as severe allergic conjunctivitis, dry eye, corneal dystrophy, entropion, ptosis, and so on.
400
1st name | Hitoshi |
Middle name | |
Last name | Tabuchi |
Tsukazaki Hospital
Ophthalmology
671-1227
Waku 68-1, Aboshi-ku, Himeji, Hyogo, Japan
079-272-8555
h.tabuchi@tsukazaki-eye.net
1st name | Sachiko |
Middle name | |
Last name | Maruoka |
Tsukazaki Hospital
Ophthalmology
671-1227
Waku 68-1, Aboshi-ku, Himeji, Hyogo, Japan
079-272-8555
s.maruoka@tsukazaki-eye.net
Ophthalmology, Tsukazaki Hospital
Ophthalmology, Tsukazaki Hospital
Self funding
Tsukazaki Hospital
Waku 68-1, Aboshi-ku, Himeji, Hyogo, Japan
079-272-8555
s.maruoka@tsukazaki-eye.net
NO
2021 | Year | 04 | Month | 03 | Day |
Unpublished
Preinitiation
2021 | Year | 03 | Month | 16 | Day |
2020 | Year | 10 | Month | 20 | Day |
2021 | Year | 04 | Month | 03 | Day |
2023 | Year | 03 | Month | 31 | Day |
Multicenter study
2021 | Year | 04 | Month | 03 | Day |
2021 | Year | 04 | Month | 03 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000050023