Unique ID issued by UMIN | UMIN000034987 |
---|---|
Receipt number | R000039900 |
Scientific Title | Computer-aided detection for colonoscopy based on artificial intelligence |
Date of disclosure of the study information | 2018/12/01 |
Last modified on | 2022/11/29 08:53:54 |
Computer-aided detection for colonoscopy based on artificial intelligence
Evaluation for CADe software
Computer-aided detection for colonoscopy based on artificial intelligence
Evaluation for CADe software
Japan |
Colorectal lesions
Gastroenterology |
Malignancy
NO
To evaluate the efficacy of CADe software(EB-00) using colonoscopy video database.
Efficacy
The sensitivity of CADe(EB-00) for colorectal lesions.
Observational
20 | years-old | <= |
Not applicable |
Male and Female
1)Pts who were performed colonoscopy in Showa University Northern Yokohama Hospital.
2)Over 20 years old.
3)Pts with informed consent.
1) Inflammatory bowel disease
2) Polyposis
70
1st name | |
Middle name | |
Last name | Masashi Misawa |
Showa University Northern Yokohama Hospital
Digestive Disease Center
Chigasaki-chuo 35-1, Tsuduki-ku, Yokohama
045-949-7265
mmisawa@med.showa-u.ac.jp
1st name | |
Middle name | |
Last name | Masashi Misawa |
Showa University Northern Yokohama Hospital
Digestive Disease Center
Chigasaki-chuo 35-1, Tsuduki-ku, Yokohama
045-949-7265
mmisawa@med.showa-u.ac.jp
Showa University Northern Yokohama Hospital
None
Other
NO
2018 | Year | 12 | Month | 01 | Day |
Unpublished
Completed
2018 | Year | 07 | Month | 01 | Day |
2018 | Year | 07 | Month | 01 | Day |
2018 | Year | 08 | Month | 01 | Day |
2018 | Year | 09 | Month | 01 | Day |
2018 | Year | 10 | Month | 01 | Day |
We evaluated the performance of CADe software using colonoscopy video database which were taken at Showa University Northern Yokohama Hospital from August 2018 to October 2018.
2018 | Year | 11 | Month | 24 | Day |
2022 | Year | 11 | Month | 29 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000039900