For anyone who has suffered from chronic pain or has been treated for a pain-related condition, you may remember being asked to rank your pain on a scale of 1-10. While this 10-point pain scale has become the standard for many pain management specialists across the US, it’s far from a perfect model.

Because unlike a blood pressure cuff that can give an objective result like 120 over 80, the 10-point pain scale is subjective in nature. What may feel like a 4 to one patient may be a 7 for another. For this reason, it’s often tough for pain specialists to gauge a person’s pain level and how to best help treat them.

However, artificial intelligence may soon be able to assist in how we quantify the subjective measure of pain. According to scientists at IBM and Boston Scientific, artificial intelligence may be able to capture pain sensation readings and allow them to be interpreted with a more objective model.

Artificial Intelligence And Chronic Pain

For their experiment, researchers used activity monitoring devices in order to capture and analyze biometric data that can correspond to the perception of pain. Researchers used biomarkers collected in clinical studies involving patients undergoing spinal cord stimulation. This included things like movement data, sleep data, heart rate levels and even voice recordings. Then artificial intelligence was employed to sift through all the results in hopes of identifying patterns that may allow a doctor to “read” a patient’s pain levels through data instead of using the 1-10 pain scale.

“We want to use all the tools of predictive analytics and get to the point where we can predict where people’s pain is going to be in the future, with enough time to give doctors the chance to intervene,” said Jeff Rogers, senior manager for digital health at IBM Research.

The research is still in its infancy, but scientists are encouraged by early results. However, it’s going to take tens of millions of data points in order to come up with anything close to resembling the readable pain scale they hope for. If all continues to go as hoped, researchers believe it could lead to the development of medical devices that can not only accurately forecast a person’s pain, but also spot the early signs of a flare up so patients can take steps to stay ahead of their pain. It’s a lofty goal, but it could be a gamechanger for millions of Americans who battle chronic pain on a daily basis. We’ll keep tabs on its progress over the coming months and years and provide any updates as they are released.