Currely, quaitative and subjective methods are used in medical sciences to estimate and evaluate the patie’s pain. In these methods, visual analog scale (VAS) and pain observation tool (CPOT) are usually used so that the doctor can estimate the amou of pain by examining the facial expression, body moveme, muscle tension and the patie’s own reports; But a new developme is coming!
AI In medical service
According to Hoshio, findings were preseed at the ANESTHESIOLOGY 2023 meeting that show that artificial ielligence can be developed to estimate the pain level of paties. The automatic pain detection system uses two forms of artificial ielligence, i.e. computer vision and deep learning, to be able to estimate the patie’s pain level by analyzing the data.
Artificial ielligence researchers have recorded 143,293 differe images of the faces of 69 paties during pain tolerance and normal state. Then, by preseing raw images to the artificial ielligence and recording whether that particular image shows pain or not, they have trained this system to recognize the state of pain so that it can recognize patterns. This artificial ielligence model focuses more on certain areas of the face such as eyebrows, lips and nose to detect pain and assesses the pain level through them.
The automatic pain detection system with artificial ielligence performed successfully in its verification. According to researches, this system is compatible with the VAS pain assessme system up to 66% and with the CPOT system up to 88%, and this is an acceptable level for a side tool.
benefit and purpose
Currely used pain assessme tools are not highly accurate and may be affected by racial and cultural biases. This creates huge problems in medical care, especially after major surgeries. The existence of an artificial ielligence model that can measure the level of pain impartially and without being influenced by momeary emotions can be of great help in emergency cases. In addition, early diagnosis of pain is particularly importa; Because it is effective in not causing chronic and long-term pain and anxiety and depression after illness.
If these findings are confirmed, this new technology could act as an assista to doctors in patie care. For example, this model can be used in recovery rooms after surgery to assess the patie’s pain even when he is unconscious, and if necessary, the medical team can take necessary measures. By making the duties of doctors and nurses lighter, this issue helps to improve the level of medical services and is also effective in maiaining the privacy of the patie.
Conclusion
At the 2023 meeting in San Francisco, USA, findings were published that show that artificial ielligence will soon be able to assess the pain level of paties before, during and after surgery and be used as an assista for doctors and nurses in hospitals. Two types of artificial ielligence have been used in the developme of this system, and the ultimate goal of its design is to help the medical care of paties.
Benefit and purpose
