Artificial Intelligence to Evaluate Postoperative Pain Based on Facial Expression
1 other identifier
observational
120
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jun 2022
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 17, 2022
CompletedFirst Submitted
Initial submission to the registry
July 26, 2022
CompletedFirst Posted
Study publicly available on registry
July 28, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 20, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
May 9, 2026
ExpectedJuly 28, 2022
July 1, 2022
10 months
July 26, 2022
July 26, 2022
Conditions
Outcome Measures
Primary Outcomes (3)
Facial expression
Painful facial expression
immediately preoperative, postoperative time
analgesia nociception index
ANI score
immediately preoperative, postoperative time
numeric rating scale
pain score
immediately preoperative, postoperative time
Interventions
Immediately after surgery, the patient's facial expression and the NRS score and ANI score reported by the patient are checked together.
Eligibility Criteria
Patients who were scheduled for elective laparoscopic abdominal surgery under general anesthesia
You may qualify if:
- Patients aged 19-75 years who were scheduled for elective laparoscopic abdominal surgery under general anesthesia
- American Society of Anesthesiology (ASA) class I-II
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Seoul National University Bundang Hospital
Seongnam-si, Gyunggi-do, 13620, South Korea
Related Publications (2)
Park I, Park JH, Yoon J, Na HS, Oh AY, Ryu J, Koo BW. Machine learning model of facial expression outperforms models using analgesia nociception index and vital signs to predict postoperative pain intensity: a pilot study. Korean J Anesthesiol. 2024 Apr;77(2):195-204. doi: 10.4097/kja.23583. Epub 2024 Jan 5.
PMID: 38176698DERIVEDPark I, Park JH, Yoon J, Song IA, Na HS, Ryu JH, Oh AY. Artificial intelligence model predicting postoperative pain using facial expressions: a pilot study. J Clin Monit Comput. 2024 Apr;38(2):261-270. doi: 10.1007/s10877-023-01100-7. Epub 2023 Dec 27.
PMID: 38150126DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Clinical instructor
Study Record Dates
First Submitted
July 26, 2022
First Posted
July 28, 2022
Study Start
June 17, 2022
Primary Completion
April 20, 2023
Study Completion (Estimated)
May 9, 2026
Last Updated
July 28, 2022
Record last verified: 2022-07