Korean researchers have created an advanced AI system designed to assess pain

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Korean researchers have created an advanced AI system designed to assess pain following surgery.

This innovative tool has shown impressive accuracy in forecasting postoperative discomfort by analyzing factors such as changes in blood volume, heart rate, and blood pressure.
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AI
Korean researchers develop AI to assess surgical pain 
The system has demonstrated high accuracy in predicting postoperative pain by analyzing changes in blood volume, heart rate, and blood pressure. 

Researchers from one of South Korea's leading hospitals have announced the development of an objective method for measuring pain during and after surgical procedures using artificial intelligence. 

FINDINGS 

The research team at Asan Medical Center created a pain assessment model applicable throughout the surgical process. This model involves monitoring a patient's heart rate, blood pressure, and changes in blood volume during surgery, utilizing a machine learning algorithm to analyze these parameters. 

The model was validated in a study involving 242 patients who underwent surgery at AMC. Six pain prediction features were selected and incorporated into the AI-driven model to verify the occurrence of pain during and after the surgical procedure. 

Results published in NPJ Digital Medicine indicated that the AI-based model achieved an accuracy rate of 83%, matching the existing intraoperative pain assessment model. However, it significantly outperformed the latter in predicting postoperative pain, achieving an accuracy of 93% compared to the existing model's 58%. 

Furthermore, the study highlighted the importance of new pain indicators, specifically systolic upper limit variability and pulse width, which had not been previously considered in existing pain assessment models.
Source:Mobihealth
Edited by Bosman

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