UnknownNCT06037837

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

Sponsor: Memorial Sloan Kettering Cancer Center

Trial Details

Condition	Surgery
Intervention	Robotic Surgery
Status	Unknown
Participants	1,000
Est. Completion	24 Aug 2026
Last Updated	20 May 2026

Primary Outcome

Correlation of Automated Performance Metrics to surgeon experience

Eligibility Criteria

Inclusion Criteria

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

Trial Sites

Countries

United States

View Registry Entry

Related Analysis

Landmark Study Opens: Machine Learning Assessment of Robotic Surgery Skills Across 1000 Surgeons — Implications for Training and Credentialing

Memorial Sloan Kettering launches landmark study using machine learning to assess robotic surgery skills across 1000 surgeons. This research could revolutionise surgical training and competency assessment through objective, automated performance metrics.

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