A study evaluating AI-based 3D navigation for anatomical understanding during intraoperative ultrasonography in minimally invasive liver resection

A Randomized Controlled Trial of an AI-Based Adaptive 3D Navigation System to Assist Intraoperative Ultrasonography in Minimally Invasive Liver Resection - AI-US (AI-assisted Intraoperative Decision-support with US) study

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000060611

Enrollment

Registered

2026-03-01

Start date

2026-02-01

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

Patients deemed eligible for hepatectomy

Interventions

AI based adaptive 3D navigation assisted intraoperative ultrasonography conventional intraoperative ultrasound alone, without AI-assisted adaptive 3D navigation

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Medical students and surgeons who are engaged in clinical training or surgical practice at our institution during the study period

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

Measure	Time frame
Time to identify target anatomical structures (seconds)	—

Secondary

Measure	Time frame
Accuracy, Identification error (cm)	—

Countries

Japan

Contacts

Public ContactSatoshi Ogiso

Department of Surgery, Graduate School of Medicine, Kyoto University Division of Hepato-Biliary-Pancreatic Surgery and Transplantation

ogiso@kuhp.kyoto-u.ac.jp+81-75-751-3242

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026