AI model based on deep learning will know patient's pain before surgery

 Researchers have developed an automated pain detection system with the help of AI that accurately assesses patients' pain before, during and after surgery. This system is based on computer vision and deep learning technology, so that the pain scale can be described through visuals.

Researchers have developed an automated pain detection system with the help of AI that accurately assesses patients' pain before, during and after surgery. This system is based on computer vision and deep learning technology, so that the pain scale can be described through visuals. Till now, methods like Visual Analog Scale (VAS) and Critical Care Pain Observation Tool (CPOT) are used to detect the level of pain. In these, experts evaluate the pain on the basis of face, body movement and muscle tension.

Timothy Heintz, a medical student at the University of California, San Diego and author of the research, said that by accurately identifying a patient's pain through an AI model, care can be improved. Also, length of hospital stay, long-term health conditions like pain, anxiety and depression can be prevented.

This is how the research was done :

Researchers gave 1 lakh 43 thousand 293 images of faces to the AI ​​model. Of these, 115 were painful operations. There were cases of complex heart surgery and hip replacement, while 159 were painless cases. The researchers explained the pain pattern by showing some images to the computer. AI recognized the expressions and assessed the pain correctly.