Artificial intelligence helps nurses with this pain diagnosis tool

Currently, quantitative and subjective methods are used in medical sciences to estimate and evaluate the patient’s pain. In these methods, visual analog scale (VAS) and pain observation tool (CPOT) are usually used so that the doctor can estimate the amount of pain by examining the facial expression, body movement, muscle tension and the patient’s own reports; But a new development is coming!

AI In medical service

According to Hoshio, findings were presented at the ANESTHESIOLOGY 2023 meeting that show that artificial intelligence can be developed to estimate the pain level of patients. The automatic pain detection system uses two forms of artificial intelligence, i.e. computer vision and deep learning, to be able to estimate the patient’s pain level by analyzing the data.

Artificial intelligence researchers have recorded 143,293 different images of the faces of 69 patients during pain tolerance and normal state. Then, by presenting raw images to the artificial intelligence 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 intelligence 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 intelligence performed successfully in its verification. According to researches, this system is compatible with the VAS pain assessment 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

Currently used pain assessment 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 intelligence model that can measure the level of pain impartially and without being influenced by momentary emotions can be of great help in emergency cases. In addition, early diagnosis of pain is particularly important; 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 assistant to doctors in patient care. For example, this model can be used in recovery rooms after surgery to assess the patient’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 maintaining the privacy of the patient.

Conclusion

At the 2023 meeting in San Francisco, USA, findings were published that show that artificial intelligence will soon be able to assess the pain level of patients before, during and after surgery and be used as an assistant for doctors and nurses in hospitals. Two types of artificial intelligence have been used in the development of this system, and the ultimate goal of its design is to help the medical care of patients.

Benefit and purpose