NCT05477303

Artificial Intelligence to Evaluate Postoperative Pain Based on Facial Expression

Artificial Intelligence to Evaluate Postoperative Pain Based on Facial Expression Recognition and Analgesia Nociception Index

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 120 (estimated)
• Sponsor: Seoul National University Bundang Hospital · Academic / Other
• Sex: All
• Age: 19 Years – 75 Years
• Healthy volunteers: —

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.

Conditions

• Artificial Intelligence
• Facial Expression
• Analgesia
• Pain, Postoperative

Interventions

Type	Name	Description
OTHER	taking a picture of a painful facial expression	Immediately after surgery, the patient's facial expression and the NRS score and ANI score reported by the patient are checked together.

Timeline

• Start date: 2022-06-17
• Primary completion: 2023-04-20
• Completion: 2026-05-09
• First posted: 2022-07-28
• Last updated: 2022-07-28

Locations

1 site across 1 country: South Korea