Unique ID issued by UMIN | UMIN000053497 |
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Receipt number | R000061006 |
Scientific Title | Clinical study for regulatory approval of new medical device "Image diagnosis support program for eye observation" |
Date of disclosure of the study information | 2024/02/29 |
Last modified on | 2024/01/31 16:47:52 |
Clinical study for regulatory approval of new medical device "Image diagnosis support program for eye observation"
Clinical study for regulatory approval of new medical device "Image diagnosis support program for eye observation"
Clinical study for regulatory approval of new medical device "Image diagnosis support program for eye observation"
Clinical study for regulatory approval of new medical device "Image diagnosis support program for eye observation"
Japan |
Cataract
Ophthalmology |
Others
NO
The purpose of this study is to evaluate the performance of an image diagnosis support program for eye observation and clarify its usefulness.
Others
Verification of non-inferiority of the diagnosis results of this program against the diagnosis results of ophthalmologists.
Confirmatory
"Sensitivity", "specificity", and "AUC" of the diagnosis results of this program when the diagnosis by an ophthalmologist is considered as the correct answer in the evaluation dataset.
In the evaluation data set, when the ophthalmologist's diagnosis is considered the correct answer, whether or not the ophthalmologist's diagnosis result and the diagnosis result of this program are non-inferior.
Observational
Not applicable |
Not applicable |
Male and Female
Among the cases of "Approval number: 20200283 Ophthalmological image analysis using artificial intelligence", cases with nuclear sclerosis cataract (including cases with other ophthalmological diseases) among those who have consented to permission for secondary use.
Among the above cases, cases in which anterior segment images were taken using a slit lamp microscope as part of routine medical treatment.
Cases that refused to participate in the study
Cases used in the development of the verification algorithm (research by the Minami Aoyama Eye Clinic Ethics Review Committee (202101)) (learning dataset for the algorithm scheduled to be verified in this research)
Other cases judged to be inappropriate by the primary investigator or sub-investigator
200
1st name | Kazuno |
Middle name | |
Last name | Negishi |
Keio University School of medicine
Department of Ophthalmology
160-0016
35 Shinanomachi Shinjuku Tokyo Japan
03-3353-0149
kazunonegishi@keio.jp
1st name | Masatoshi |
Middle name | |
Last name | Hirayama |
Keio University schooKeio University school of medicine
Department of Ophthalmology
160-0016
35 Shinanomachi Shinjuku Tokyo Japan
03-5363-3821
mar_hirayama@keio.jp
Department of Ophthalmology, Keio University
AMED
Japanese Governmental office
Keio University shool of medicine Institutional Review Board
35 Shinanomachi Shinjuku Tokyo Japan
03-3353-1211
xxx@xxx
NO
2024 | Year | 02 | Month | 29 | Day |
Unpublished
Preinitiation
2024 | Year | 03 | Month | 01 | Day |
2024 | Year | 03 | Month | 15 | Day |
2024 | Year | 03 | Month | 20 | Day |
Evaluate the sensitivity, specificity, and AUC of programmed medical devices using acquired image data
2024 | Year | 01 | Month | 31 | Day |
2024 | Year | 01 | Month | 31 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000061006
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