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Unpublished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