Unique ID issued by UMIN | UMIN000043211 |
---|---|
Receipt number | R000049318 |
Scientific Title | Development of artificial intelligence in ophthalmology |
Date of disclosure of the study information | 2021/02/01 |
Last modified on | 2022/02/02 11:48:15 |
Development of artificial intelligence in ophthalmology
Development of artificial intelligence in ophthalmology
Development of artificial intelligence in ophthalmology
Development of artificial intelligence in ophthalmology
Japan |
Cataract, dry eye disease, allergic conjunctivitis, glaucoma, corneal disease, etc
Ophthalmology | Adult | Child |
Others
NO
Development of artificial intelligence using ophthalmology data
Efficacy
Performance of artificial intelligence in the diagnosis or/and evaluation of ophthalmologic data.
Observational
16 | years-old | <= |
100 | years-old | > |
Male and Female
All patients
no opt-in cases
905
1st name | Eisuke |
Middle name | |
Last name | Shimizu |
Keio University School of Medicine
Department of Ophthalmology
160-8582
35 Shinanomachi, Shinjuku-ku
0333531211
ophthalmolog1st.acek39@keio.jp
1st name | Eisuke |
Middle name | |
Last name | Shimizu |
Keio University School of Medicine
Department of Ophthalmology
160-8582
35 Shinanomachi, Shinjuku-ku
0333531211
ophthalmolog1st.acek39@keio.jp
Keio University School
AMED
Japanese Governmental office
Keio University School of Medicine
35 Shinanomachi, Shinjuku-ku
0333531211
ophthalmolog1st.acek39@keio.jp
NO
2021 | Year | 02 | Month | 01 | Day |
Unpublished
Enrolling by invitation
2021 | Year | 02 | Month | 01 | Day |
2021 | Year | 02 | Month | 01 | Day |
2021 | Year | 02 | Month | 01 | Day |
2023 | Year | 09 | Month | 30 | Day |
none
2021 | Year | 02 | Month | 01 | Day |
2022 | Year | 02 | Month | 02 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000049318