Artificial Intelligence to Evaluate Postoperative Pain Based on Facial Expression
Study Details
Study Description
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.
Condition or Disease | Intervention/Treatment | Phase |
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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.
Study Design
Outcome Measures
Primary Outcome Measures
- Facial expression [immediately preoperative, postoperative time]
Painful facial expression
- analgesia nociception index [immediately preoperative, postoperative time]
ANI score
- numeric rating scale [immediately preoperative, postoperative time]
pain score
Eligibility Criteria
Criteria
Inclusion Criteria:
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Patients aged 19-75 years who were scheduled for elective laparoscopic abdominal surgery under general anesthesia
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American Society of Anesthesiology (ASA) class I-II
Exclusion Criteria:
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Patients who have difficulty in communicating and reporting pain
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Underlying diseases: liver, kidney, brain
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Patients with BMI greater than 30 and less than 18.5
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Alcohol or drug dependent patients
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Patients with severe or acute respiratory failure
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Opioid, NSAID allergy
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Patients who are scheduled to be admitted to the intensive care unit after surgery
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Patients who undergo cooperative surgery
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Seoul National University Bundang Hospital | Seongnam-si | Gyunggi-do | Korea, Republic of | 13620 |
Sponsors and Collaborators
- Seoul National University Bundang Hospital
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- B-2205-757-304