Can AI learn from surgery videos to make operations safer?
NCT ID NCT07752862
First seen Aug 07, 2026 · Last updated Aug 07, 2026
Summary
This study gathers full-length videos from thousands of minimally invasive surgeries, along with medical records and follow-up data. The goal is to create a large, standardized dataset to train AI models that could assist in surgical training, quality control, and research. No treatment or intervention is given to participants—they simply allow their anonymized surgical data to be used for this purpose.
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 create a large, standardized video library to train AI that helps surgeons learn, improves surgical safety, and may link surgical details to patient outcomes.
- What could go wrong
- This is an observational study, so it won't test a treatment. The AI models may not work as hoped, and collecting high-quality data from many hospitals is challenging.
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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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Institute of Automation, Chinese Academy of Sciences
Beijing, China