AI analyzes surgeon skills to boost robotic surgery training
NCT ID NCT06037837
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study aims to develop new tools that use machine learning to evaluate how well surgeons perform robotic surgery. Researchers will collect data from 1,000 surgeons across different specialties as they perform standard procedures. The goal is to find patterns that can help improve surgical training and, ultimately, patient outcomes.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to better training tools for surgeons, potentially improving patient safety and outcomes after robotic surgery.
- What could go wrong
- This is an observational study focused on measuring performance, not testing a new treatment. It may not directly change patient care or surgical practice.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Memorial Sloan Kettering Bergen (Limited Protocol Activities)
Montvale, New Jersey, 07645, United States
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Memorial Sloan Kettering Cancer Center (All protocol activites)
New York, New York, 10065, United States
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Memorial Sloan Kettering Monmouth (Limited protocol activities)
Middletown, New Jersey, 07748, United States
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Memorial Sloan Kettering Nassau (Limited Protocol Activites)
Rockville Centre, New York, 11553, United States
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Memorial Sloan Kettering Suffolk-Commack (Limited Protocol Activities )
Commack, New York, 11725, United States
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Memorial Sloan Kettering Westchester (Limited Protocol Activities)
Harrison, New York, 10604, United States
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Memorial Sloan Kettering at Basking Ridge (Limited Protocol Activities)
Basking Ridge, New Jersey, 07920, United States
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