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Improving Surgeon Performance Measures for Robot-Assisted Surgery

Generalized Robotic Skills Assessment Using Machine Learning-Based Analysis Across Multiple Surgical Specialties

Status
Enrolling by invitation
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06037837
Enrollment
1000
Registered
2023-09-14
Start date
2023-08-24
Completion date
2026-08-24
Last updated
2026-05-20

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

Conditions

Surgery

Keywords

Robot assisted surgical procedure, robotic surgery, prostate surgery, kidney surgery, bladder surgery, colon surgery, pancreas surgery, gallbladder surgery, stomach surgery, uterus surgery, lung surgery, Memorial Sloan Kettering Cancer Center, 23-094

Brief summary

The purpose of this study is to develop new tools to understand surgeon performance to improve surgical training and participant outcomes after surgery.

Interventions

PROCEDURERobotic Surgery

Surgeons will perform and participants will undergo robotic surgery according to the standard of care. No additional interventions will be performed on participating participants.

Sponsors

Memorial Sloan Kettering Cancer Center
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Surgeons who perform robotic surgery for candidate procedures * Surgeons who perform candidate procedures that are frequently performed by at least three surgeons (to ensure the ability to make adequate comparisons) * Surgeons who agree to participate in the study

Exclusion criteria

* Surgeons who decline to participate in the study

Design outcomes

Primary

MeasureTime frameDescription
Correlation of Automated Performance Metrics to surgeon experienceUp to 2 yearsFor the primary objective, we will capture Automated Performance Metrics/APMs and will determine the association between these and other metrics and surgeon experience, which will be used to construct validation. APMs that will be used in the study: Time Metrics Camera Metrics Instrument Metrics System Metrics Articulation Metrics

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORAlvin Goh, MD

Memorial Sloan Kettering Cancer Center

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 21, 2026