Patients' subjective complaints about pain intensity are difficult to objectively evaluate, and may lead to inadequate pain management, especially in patients with communication difficulties.
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 Type
OBSERVATIONAL
Enrollment
120
Immediately after surgery, the patient's facial expression and the NRS score and ANI score reported by the patient are checked together.
Seoul National University Bundang Hospital
Seongnam-si, Gyunggi-do, South Korea
RECRUITINGFacial expression
Painful facial expression
Time frame: immediately preoperative, postoperative time
analgesia nociception index
ANI score
Time frame: immediately preoperative, postoperative time
numeric rating scale
pain score
Time frame: immediately preoperative, postoperative time
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.