Exploratory research on improving the accuracy of intraoperative landmark teaching systems using artificial intelligence

Exploratory research on improving the accuracy of intraoperative landmark teaching systems using artificial intelligence - Exploratory research on improving the accuracy of intraoperative landmark teaching systems using artificial intelligence

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000045731

Enrollment

Registered

2021-10-12

Start date

2021-10-13

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Benign gallbladder disease

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Benign gallbladder disease for which laparoscopic cholecystectomy is indicated

Exclusion criteria

Exclusion criteria: 1) Patients with severe cardiac dysfunction who were diagnosed by anesthesiology and cardiology and were judged to be unable to undergo general anesthesia. 2) Patients with severe respiratory distress who were judged to be unable to undergo general anesthesia based on the diagnosis of anesthesiology and respiratory medicine. 3) Patients with severe liver damage or severe cirrhosis 4) Patients who participated in other clinical trials within 4 months 5) Other patients who the doctor in charge of this study deems inappropriate

Design outcomes

Primary

Measure	Time frame
Accuracy of landmark detection	—

Countries

Japan

Contacts

Public ContactAtsuro Fujinaga

Oita University Faculty of Medicine Gastroenterological and Pediatric Surgery

a-yoshimura@oita-u.ac.jp097-586-5843

Outcome results