Unique ID issued by UMIN | UMIN000044952 |
---|---|
Receipt number | R000051347 |
Scientific Title | Evaluation of assistive system of histological remission diagnosis of ulcerative colitis by magnified NBI image using artificial intelligence |
Date of disclosure of the study information | 2021/07/27 |
Last modified on | 2022/01/27 11:56:53 |
Evaluation of assistive system of histological remission diagnosis of ulcerative colitis by magnified NBI image using artificial intelligence
Evaluation of diagnostic assistance system using enlarged NBI images
Evaluation of assistive system of histological remission diagnosis of ulcerative colitis by magnified NBI image using artificial intelligence
Evaluation of diagnostic assistance system using enlarged NBI images
Japan |
Ulcerative colitis
Medicine in general |
Others
NO
Develop and evaluate a diagnostic assistance system using artificial intelligence that can diagnose histological remission using magnified NBI images.
Efficacy
Confirmatory
Pragmatic
Not applicable
Comparison of the percentage of histological inflammation by AI diagnostic output
Clinical relapse rate after 1 year by diagnosis of AI diagnostic output
Observational
20 | years-old | <= |
Not applicable |
Male and Female
Patients with a definite diagnosis of ulcerative colitis in advance
Patients undergoing lower gastrointestinal endoscopy due to clinical need
Patients who are 20 years of age or older at the time of consent acquisition
Patients with no history of radiation therapy for the abdomen or pelvis
Patients who have been asked to refuse to participate in this study
Patients who did not undergo histological diagnosis
100
1st name | YASUHARU |
Middle name | |
Last name | MAEDA |
Showa University Northern Yokohama Hospital
Digestive Disease Center
2248503
35-1 Chigasakichuo Tuduki-ku yokohama kanagawa
+81459497000
yasuharumaeda610@hotmail.com
1st name | YASUHARU |
Middle name | |
Last name | MAEDA |
Showa University Northern Yokohama Hospital
Digestive Disease Center
2248503
35-1 Chigasakichuo Tuduki-ku yokohama kanagawa
+81459497000
yasuharumaeda610@hotmail.com
Showa University Northern Yokohama Hospital
Japan Society for the Promotion of Science
Japanese Governmental office
JAPAN
Showa University Northern Yokohama Hospital Digestive Disease Center
Showa University Northern Yokohama Hospital Digestive Disease Center
35-1 Chigasakichuo Tuduki-ku yokohama kanagawa
+81459497000
yasuharumaeda610@hotmail.com
NO
2021 | Year | 07 | Month | 27 | Day |
Unpublished
Preinitiation
2021 | Year | 07 | Month | 26 | Day |
2021 | Year | 07 | Month | 27 | Day |
2024 | Year | 07 | Month | 27 | Day |
Develop and evaluate a diagnostic assistance system using artificial intelligence that can diagnose histological remission using magnified NBI images
2021 | Year | 07 | Month | 26 | Day |
2022 | Year | 01 | Month | 27 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000051347