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Automated Surgical Workflow Identification By Artificial Intelligence In Laparoscopic Hepatectomy

Automated Surgical Workflow Identification By Artificial Intelligence In Laparoscopic Hepatectomy - AI For Laparoscopic Hepatectomy

Status
Active, not recruiting
Phases
Unknown
Study type
Unknown
Source
JPRN
Registry ID
JPRN-UMIN000048416
Enrollment
40
Registered
2022-07-21
Start date
2020-09-30
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

Hepatocellular Carcinoma Metastatic Cancer Of The Liver Intrahepatic Cholangiocarcinoma

Interventions

None listed

Sponsors

Surgical Device Innovation Office, National Cancer Center Hospital East
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: We constructed a dataset containing 40 cases of pure laparoscopic hepatectomy partial resection procedures, all of which were performed by four surgeons at the National Cancer Center Hospital East (NCCHE) in Kashiwa, Japan, between July 2018 and December 2019.

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

MeasureTime frame
The evaluation metrics for the model were precision, recall, F1 score (which were used as the metrics for each step), and overall accuracy (which was used for the integrated steps).—

Countries

Japan

Contacts

Public ContactMasaaki Ito

National Cancer Center Hospital East Surgical Device Innovation Office

maito@east.ncc.go.jp0471-33-1111

Outcome results

None listed

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