Sensors and Devices Guided by Artificial Intelligence for Personalized Pain Medicine

被引:21
作者
Xing, Yantao [1 ]
Yang, Kaiyuan [1 ]
Lu, Albert [1 ,2 ]
Mackie, Ken [3 ]
Guo, Feng [1 ]
机构
[1] Indiana Univ Bloomington, Dept Intelligent Syst Engn, Bloomington, IN 47405 USA
[2] Culver Acad High Sch, Culver, IN 46511 USA
[3] Indiana Univ Bloomington, Gill Ctr Biomol Sci, Dept Psychol & Brain Sci, Bloomington, IN 47405 USA
来源
CYBORG AND BIONIC SYSTEMS | 2024年 / 5卷
关键词
SPINAL-CORD STIMULATION; TRANSCRANIAL MAGNETIC STIMULATION; DEEP BRAIN-STIMULATION; NEUROPATHIC PAIN; DRUG DISCOVERY; MANAGEMENT; MECHANISMS; SENSITIVITY; TECHNOLOGY; ULTRASOUND;
D O I
10.34133/cbsystems.0160
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页数:17
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