Unique ID issued by UMIN | UMIN000042569 |
---|---|
Receipt number | R000048521 |
Scientific Title | Development of an artificial intelligence system using deep learning to indicate anatomical landmarks during laparoscopic gastrectomy |
Date of disclosure of the study information | 2020/11/26 |
Last modified on | 2023/11/29 12:54:46 |
Development of an artificial intelligence system using deep learning to indicate anatomical landmarks during laparoscopic gastrectomy
Development of an artificial intelligence system using deep learning to indicate anatomical landmarks during laparoscopic gastrectomy
Development of an artificial intelligence system using deep learning to indicate anatomical landmarks during laparoscopic gastrectomy
Development of an artificial intelligence system using deep learning to indicate anatomical landmarks during laparoscopic gastrectomy
Japan |
gastric cancer
Gastrointestinal surgery |
Malignancy
NO
To develop artificial intelligence (AI) based intraoperative landmark teaching system for laparoscopic gastrectomy and confirm the function of the AI device.
Safety
Exploratory
Phase I
Accuracy of landmark detection
Operative time
Amount of blood loss
Conversion ratio to conventional surgery
Morbidity
Mortality
Observational
20 | years-old | <= |
85 | years-old | >= |
Male and Female
1) Histologically proven gastric carcinoma.
2) Clinical Stage I to III gastric carcinoma according to the Japanese classification system.
3) Regardless of occupation and number of tumors.
4) Aged 20 to 85 years old.
6) PS (ECOG) 0 or 1.
7) Sufficient organ function.
8) Provided written informed consent.
1) Severe mental disease.
2) Continuous systemic steroid therapy.
3) History of myocardial infarction or unstable angina pectoris within 6 months.
4) Uncontrollable hypertension.
5) Uncontrollable diabetes mellitus or administration of insulin.
6) Severe respiratory disease requiring continuous oxygen therapy.
10
1st name | Masafumi |
Middle name | |
Last name | Inomata |
Oita University Faculty of Medicine
Gastroenterological and Pediatric Surgery
879-5593
1-1 Idaigaoka, Hasama-machi, Yufu city, Oita
097-586-5843
oitagps@oita-u.ac.jp
1st name | Kosuke |
Middle name | |
Last name | Suzuki |
Oita University Faculty of Medicine
Gastroenterological and Pediatric Surgery
879-5593
1-1 Idaigaoka, Hasama-machi, Yufu city, Oita
097-586-5843
http://www.surgery1.med.oita-u.ac.jp
kosuzuki@oita-u.ac.jp
Department of Gastroenterological and Pediatric Surgery, Oita University Faculty of Medicine
Japan Agency for Medical Research and Development
Japanese Governmental office
Department of Gastroenterological and Pediatric Surgery, Oita University Faculty of Medicine
1-1 Idaigaoka, Hasama-machi, Yufu city, Oita
097-586-5843
kosuzuki@oita-u.ac.jp
NO
大分大学医学部 消化器・小児外科
2020 | Year | 11 | Month | 26 | Day |
Unpublished
Preinitiation
2020 | Year | 08 | Month | 02 | Day |
2020 | Year | 09 | Month | 17 | Day |
2020 | Year | 12 | Month | 01 | Day |
2024 | Year | 09 | Month | 30 | Day |
2025 | Year | 04 | Month | 30 | Day |
none
2020 | Year | 11 | Month | 26 | Day |
2023 | Year | 11 | Month | 29 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000048521
Research Plan | |
---|---|
Registered date | File name |
Research case data specifications | |
---|---|
Registered date | File name |
Research case data | |
---|---|
Registered date | File name |