Sensors and Devices Guided by Artificial Intelligence for Personalized Pain Medicine

Overview

Journal Cyborg Bionic Syst

Specialty Biomedical Engineering

Date 2024 Sep 16

PMID 39282019

Authors

Yantao Xing

Kaiyuan Yang

Albert Lu

Ken Mackie

Feng Guo

Affiliations

Soon will be listed here.

Abstract

Personalized pain medicine aims to tailor pain treatment strategies for the specific needs and characteristics of an individual patient, holding the potential for improving treatment outcomes, reducing side effects, and enhancing patient satisfaction. Despite existing pain markers and treatments, challenges remain in understanding, detecting, and treating complex pain conditions. Here, we review recent engineering efforts in developing various sensors and devices for addressing challenges in the personalized treatment of pain. We summarize the basics of pain pathology and introduce various sensors and devices for pain monitoring, assessment, and relief. We also discuss advancements taking advantage of rapidly developing medical artificial intelligence (AI), such as AI-based analgesia devices, wearable sensors, and healthcare systems. We believe that these innovative technologies may lead to more precise and responsive personalized medicine, greatly improved patient quality of life, increased efficiency of medical systems, and reducing the incidence of addiction and substance use disorders.

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