A study on the effect of an artificial intelligence intraoperative landmark indicating system on the improvement of landmark recognition in a group of subjects according to their skills in laparoscopic gastrectomy.

A study on the effect of an artificial intelligence intraoperative landmark indicating system on the improvement of landmark recognition in a group of subjects according to their skills in laparoscopic gastrectomy. - A study on the effect of an artificial intelligence intraoperative landmark indicating system on the improvement of landmark recognition in a group of subjects according to their skills in laparoscopic gastrectomy.

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000052901

Enrollment

Registered

2024-01-20

Start date

2024-01-20

Completion date

Unknown

Last updated

2026-09-14

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

Conditions

gastric cancer

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1) Diagnosed histologically as gastric cancer (pap, tub1, tub2, por1, por2, sig, muc) through endoscopic biopsy from the primary gastric lesion. 2) Diagnosed as Stage I-III through endoscopic examination and contrast-enhanced CT of the upper abdomen and pelvis (slice thickness of 1cm or less; plain CT is acceptable in cases of contrast agent allergy). 3) The site of tumor involvement and presence of multiple tumors are not criteria for exclusion. 4)Performance Status (ECOG) is 0 or 1. 5)Major organ functions are preserved. Surgical videos of laparoscopic gastrectomy performed at our institution, meeting the above criteria 1)-5), will be used."

Exclusion criteria

Exclusion criteria: 1) Cases with a BMI of 30 or above. 2) Cases with bulky lymph node metastasis. Surgical videos of laparoscopic gastrectomies performed at our institution that meet the above criteria 1) and 2) will be excluded.

Design outcomes

Primary

Measure	Time frame
The concordance and change rates in anatomical landmark recognition before and after AI system Indication among a grouped target population (surgeons)	—

Countries

Japan

Contacts

Public ContactTakumi Hasegawa

Oita University Faculty of Medicine Gastroenterological and Pediatric Surgery

t-hasegawa@oita-u.ac.jp097-586-5843

Outcome results