| 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Unpublished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