| Unique ID issued by UMIN | UMIN000055621 |
|---|---|
| Receipt number | R000063538 |
| Scientific Title | Construction of an AI-based automated skill assessment system for endoscopic surgery |
| Date of disclosure of the study information | 2024/09/25 |
| Last modified on | 2024/09/25 19:54:32 |
Construction of an AI-based automated skill assessment system for endoscopic surgery
Construction of an AI-based automated skill assessment system for endoscopic surgery
Construction of an AI-based automated skill assessment system for endoscopic surgery
Construction of an AI-based automated skill assessment system for endoscopic surgery
| Japan |
Colorectal cancer, Gastric cancer, Prostatic disease, Gallbladder disease, Gynecological disease
| Gastrointestinal surgery | Hepato-biliary-pancreatic surgery | Obstetrics and Gynecology |
| Urology |
Malignancy
NO
The aim of this study is to construct an objective indicator for assessing the skills of endoscopic surgery. We aim to construct an objective assessment indicator by applying artificial intelligence to surgical videos of laparoscopic surgery from multiple facilities.
Others
observational
Exploratory
Not applicable
This study aims to construct an AI-based automated skill assessment system for endoscopic surgery. Therefore, no final endpoint is set.
Observational
| Not applicable |
| Not applicable |
Male and Female
The following three points must be met.
1. The surgery involves a colon/rectal resection, gastrectomy, cholecystectomy, or total hysterectomy.
2. The patient has given written consent for the use of the surgical video and patient information.
3. The patient, the applying institution, and the applicant have given written consent for the secondary use of the video.
The exclusion criteria are as follows.
1. If the patient themselves requests that the use of the data be refused.
2. If the principal investigator deems it inappropriate.
3. Minors
12224
| 1st name | Masaaki |
| Middle name | |
| Last name | Ito |
National Cancer Center East
Department of Colorectal Surgery, Surgical Device Innovation Office
277-8577
6-5-1 Kashiwanoha, Kashiwa-shi Chiba, Japan
+81-4-7130-0199
maito@east.ncc.go.jp
| 1st name | Nobuyoshi |
| Middle name | |
| Last name | Takeshita |
National Cancer Center Hospital East
Surgical Device Innovation Office
277-8577
6-5-1 Kashiwanoha, Kashiwa-shi Chiba, Japan
+81-4-7130-0199
ntakeshi@east.ncc.go.jp
National Cancer Center East
National Cancer Center East
Other
National Cancer Center Institutional Review Board
5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan
+81-3-3542-2511
NCC_IRBoffice@ml.res.ncc.go.jp
NO
| 2024 | Year | 09 | Month | 25 | Day |
Unpublished
Open public recruiting
| 2021 | Year | 01 | Month | 26 | Day |
| 2021 | Year | 01 | Month | 26 | Day |
| 2021 | Year | 01 | Month | 28 | Day |
| 2026 | Year | 03 | Month | 31 | Day |
This study is a multicenter, non-interventional, non-invasive observational study. This study is a collaborative research project between the National Cancer Center Hospital East, Nagoya City University, Oita University, Chiba University, the University of Tokyo, Hokkaido University, and Toranomon Hospital (Toranomon Hospital will participate until March 31, 2023), and a joint research agreement has been concluded. , and the National Cancer Center Hospital East, which is an institution that only provides surgical videos, examination results and examination application documents submitted to the technical certification examination of each academic society, and existing information other than that of the Japanese Society of Endoscopic Surgery or the Japanese Society of Gynecologic Endoscopy, will use surgical videos and case information provided by the collaborative research facilities to construct an AI automated technical evaluation system. The National Cancer Center Hospital East will oversee the research and expand the data, consider evaluation items for automated technology evaluation, and the National Cancer Center Hospital East and Chiba University will build the AI automated technology evaluation system. Nagoya City University, the University of Tokyo, Chiba University , Toranomon Hospital, and Oita University (Toranomon Hospital until March 31, 2023) will build partnerships with academic societies and collect data from them, and Hokkaido University will examine evaluation items for automated technology evaluation. By fulfilling their respective roles, each facility will build the final deliverable, the AI automated technology evaluation system.
| 2024 | Year | 09 | Month | 25 | Day |
| 2024 | Year | 09 | Month | 25 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000063538