Can a computer predict your anesthesia depth?
NCT ID NCT07237477
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested how well a computer model predicts anesthesia depth compared to actual brain monitors. Seventy adults having elective surgery were split into two groups based on how they received anesthesia (slow vs. fast induction). The goal was to see if the model's predictions matched the brain monitor readings during the first 20 minutes after patients lost consciousness.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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70 people
The number who actually took part.
- Started
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Jan 2025
- Finished
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Sep 2025
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Patients ASA1-2, 18-70 years, scheduled for elective surgery longer than 1 hour
- Ages
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18 to 70 years
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: patients ASA 1-2 scheduled for elective surgery, Exclusion Criteria: patients with psychiatric disorders, allergic to propofol, not giving their consent to participate \-
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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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Hospital Base san José de Osorno
Osorno, Los Lagos Region, 5290000, Chile
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