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Artificial Intelligence to Evaluate Postoperative Pain Based on Facial Expression

Recruiting
Conditions
Analgesia
Facial Expression
Pain, Postoperative
Artificial Intelligence
Registration Number
NCT05477303
Lead Sponsor
Seoul National University Bundang Hospital
Brief Summary

Patients' subjective complaints about pain intensity are difficult to objectively evaluate, and may lead to inadequate pain management, especially in patients with communication difficulties.

Detailed Description

Analgesia nociception index (ANI 0-100) and patient-reported numeric rating scale (NRS 0-10) were trained on a convolutional neural network (CNN) model by linking the patients' facial expression with the score. By applying the predicted pain score by the AI model to evaluate pain, it is intended to measure the intensity of pain in an automatic, fast, and objective way for appropriate pain management.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
120
Inclusion Criteria
  • Patients aged 19-75 years who were scheduled for elective laparoscopic abdominal surgery under general anesthesia
  • American Society of Anesthesiology (ASA) class I-II
Exclusion Criteria
  • Patients who have difficulty in communicating and reporting pain
  • Underlying diseases: liver, kidney, brain
  • Patients with BMI greater than 30 and less than 18.5
  • Alcohol or drug dependent patients
  • Patients with severe or acute respiratory failure
  • Opioid, NSAID allergy
  • Patients who are scheduled to be admitted to the intensive care unit after surgery
  • Patients who undergo cooperative surgery

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
analgesia nociception indeximmediately preoperative, postoperative time

ANI score

numeric rating scaleimmediately preoperative, postoperative time

pain score

Facial expressionimmediately preoperative, postoperative time

Painful facial expression

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Seoul National University Bundang Hospital

🇰🇷

Seongnam-si, Gyunggi-do, Korea, Republic of

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