| Unique ID issued by UMIN | UMIN000044660 |
|---|---|
| Receipt number | R000051004 |
| Scientific Title | Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis |
| Date of disclosure of the study information | 2021/06/25 |
| Last modified on | 2021/06/25 16:26:33 |
Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis
automated diagnosis of blepharoptosis
Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis
automated diagnosis of blepharoptosis
| Japan |
blepharoptosis
| Ophthalmology |
Others
NO
To assess the performance of artificial intelligence in the automated classification of images taken with a tablet device of blepharoptosis patients and subjects with normal eyelid.
Efficacy
Sensitivity , Specificity
Observational
| 20 | years-old | <= |
| 100 | years-old | >= |
Male and Female
blepharoptosis
Trauma
1000
| 1st name | Daisuke |
| Middle name | |
| Last name | Nagasato |
Tsukazaki Hospital
Ophthalmology
671-1227
68-1 Waku Aboshiku Himeji City
0792728555
d.nagasato@tsukazaki-eye.net
| 1st name | Daisuke |
| Middle name | |
| Last name | Nagasato |
Tsukazaki Hospital
Ophthalmology
671-1227
68-1 Waku Aboshiku Himeji City
0792728555
d.nagasato@tsukazaki-eye.net
Tsukazaki Hospital
non
Other
Tsukazaki Hospital
68-1 Waku Aboshiku Himeji City
0792728555
d.nagasato@tsukazaki-eye.net
NO
| 2021 | Year | 06 | Month | 25 | Day |
Unpublished
606
No longer recruiting
| 2017 | Year | 10 | Month | 01 | Day |
| 2017 | Year | 10 | Month | 01 | Day |
| 2017 | Year | 10 | Month | 18 | Day |
| 2021 | Year | 01 | Month | 08 | Day |
non
| 2021 | Year | 06 | Month | 25 | Day |
| 2021 | Year | 06 | Month | 25 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000051004