AI scans could help surgeons avoid overdosing muscle relaxants
NCT ID NCT07478120
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This completed study of 31 gynecological surgery patients tested whether AI analysis of preoperative CT scans could predict the correct dose of muscle relaxant (neuromuscular blocking agent). The idea is that people with more muscle mass need a higher dose, but current dosing based on body weight can be inaccurate. Researchers used deep learning to measure muscle and fat from CT images and compared those measurements to the drug dose needed during surgery. The goal is to make anesthesia safer and more personalized.
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 help doctors personalize anesthesia dosing based on a patient's actual muscle mass, reducing risks of under- or over-medication.
- What could go wrong
- This is a small, completed observational study (31 people) that only looked at one type of surgery. The findings may not apply to other surgeries or patients, and the AI method needs more testing before it can be used in routine care.
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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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Seoul National University Bundang Hospital
Gyeonggi-do, Sungnamsi, 13620, South Korea
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