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AI Helps Assess Pain Levels in People With Sickle Cell Disease


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Sickle cell disease is a painful condition that affects the shapes of blood cells.

Researchers at Northwestern University used algorithms to assess the pain someone with sickle cell disease experiences, based on their vital signs.

Credit: Researchers/Science History Images/Alamy

Northwestern University researchers used artificial intelligence to assess pain levels in patients with sickle cell disease, based on their vital signs.

The researchers sought to develop a system to assess pain levels in an objective manner using physiological data like body temperature, heart rate, and blood pressure.

They used data from 46 patients over a combined total of 105 hospital stays to develop machine learning models that gauge pain levels and identify any changes.

The new models outperformed existing models that assess pain levels without using physiological measurements.

Northwestern's Daniel Abrams said the research could be especially useful for children, who often struggle to explain the level of pain they experience.

 

From New Scientist
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Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA


 

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