AI-assisted analgesia copilot to guide remifentanil dosing during general anesthesia

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational project develops and applies a machine-learning/AI co-pilot that integrates data from hemodynamic monitors, BIS, TOF, ANI, anesthesia machines, and infusion pumps to monitor nociception in real time. The system aims to distinguish genuine nociceptive responses from confounding physiological signals and to support precise titration of remifentanil using target-controlled infusion. Data will be captured during elective general anesthesia cases lasting between two and four hours to train and validate the algorithm in a clinical operating-room environment. The intent is to create a clinical implementation tool that can provide actionable, real-time guidance for individualized opioid dosing.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Patients scheduled for elective surgery with general anesthesia.
* Surgeries scheduled to last at least two hours.

Exclusion Criteria:

* Patients undergoing emergency surgery.
* Pregnant women.
* Presence of a mental or intellectual disability before the hospitalization.
* Drug dependence.
* Surgeries scheduled for more than 4 hours.
* Intraoperative complications requiring changes in routine behavior.

Where it's running

• Hospital Clinico UC Christus
  Santiago, Chile Recruiting
• Division de Anestesiologia
  Santiago, Chile Not yet recruiting

Study contacts

• Principal investigator: Victor Contreras, RN, MSN — Pontificia Universidad Catolica de Chile
• Study coordinator: Victor Contreras, RN, MSN
• Email: vecontre@uc.cl
• Phone: +56955049217

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.