AI reads CT scans to personalize anesthesia dosing
NCT ID NCT07478120
First seen Mar 19, 2026 · Last updated Jun 21, 2026 · Updated 15 times
Summary
This study looked at whether muscle and fat mass measured from CT scans can help doctors decide the right dose of muscle relaxant during gynecological surgery. 31 patients were included, and their CT images were analyzed using artificial intelligence. The goal was to see if body composition affects how much medication is needed, which could lead to safer, more personalized anesthesia.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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Seoul National University Bundang Hospital
Gyeonggi-do, Sungnamsi, 13620, South Korea
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 more personalized dosing of muscle relaxants during surgery, reducing risks from under- or over-medication.
What could go wrong
This is a small, completed observational study (31 people) that only looked for a relationship, not a proven way to dose. Results may not apply to other surgeries or patients.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.