Artificial intelligence-guided sensors for personalized pain medicine
A review paper by scientists at Indiana University Bloomington summarized recent engineering efforts in developing various sensors and devices for addressing challenges in the personalized treatment of pain. The new review paper, published on Sept. 13 in the journal Cyborg and Bionic Systems, critically examines the role of sensors and devices guided by artificial intelligence (AI) in the field of personalized pain medicine, highlighting their transformative impact on treatment outcomes and patient quality of life. Pain, a complex and subjective experience, markedly diminishes individual quality of life and imposes substantial burdens on healthcare systems. Despite the acknowledged universality and significance of pain, its accurate assessment and effective management pose persistent difficulties. “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…


