Clinical Research Directory

AI-Assisted Analgesia Copilot System

The primary objective of the SEASCAPE project is to design, develop, and to apply a clinical implementation tool of a machine learning (ML) and artificial intelligence (AI)-based co-pilot system for the real-time monitoring and control of nociception during general anesthesia (GA). The ultimate clinical purpose is to optimize individualized pain management by achieving precise titration of intravenous opioids (specifically remifentanil), thereby minimizing the incidence of over- and under-dosing. This optimization is projected to enhance patient outcomes, reduce opioid-related complications, and improve overall cost-effectiveness of anesthetic procedures. The main scientific question guiding this work is: Can a novel algorithm be generated and validated to provide superior analytical precision for analgesic management by reliably differentiating genuine nociceptive responses from confounding physiological variables-such as inadequate neuromuscular blockade or changes in depth of anesthesia-thereby significantly improving the clinical decision-making framework for intraoperative nociception control? This project addresses the recognized challenge in anesthesiology: defining an objective measure to quantify nociception and antinociception during GA. Study Population: Patients scheduled for elective surgical procedures requiring general anesthesia (GA). Existing Intervention: The standard anesthetic regimen includes continuous intravenous infusion of the remifentanil for intraoperative analgesia, typically governed by a Target Controlled Infusion (TCI) system utilizing a pharmacokinetic/pharmacodynamic (PK/PD) model (Eleveld TCI model). Project Focus: The research seeks to improve the accuracy and efficacy of this existing analgesic strategy by integrating a multivariate patient data stream with the newly developed SEASCAPE co-pilot AI. This aims to refine the remifentanil dose predictions beyond the current TCI model's capabilities, personalized system.

The Impact of a Dexmedetomidine Perfusion on Intraoperative Remifentanil Consumption

Opioids analgesic are the gold standard for intraoperative pain management. Their short- and long-term adverse effect motivate anesthesiologists to explore opioid sparing strategies. Dexmedetomidine is a highly selective α2 adrenergic receptor agonist that could help minimize opioid consumption both intraoperative and postoperative due to its sedative, analgesic and sympatholytic properties. This new randomized controlled trial (RCT) will answer the question whether an intraoperative dexmedetomidine infusion compared to placebo has a clinically significant impact on intraoperative remifentanil consumption during a laparoscopic abdominal elective surgery.