Articles: chronic-pain.
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While the development of artificial intelligence (AI) technologies in medicine has been significant, their application to acute and chronic pain management has not been well characterized. This systematic review aims to provide an overview of the current state of AI in acute and chronic pain management. ⋯ This review characterizes current applications of AI for pain management and discusses barriers to their clinical integration. Our findings support continuing efforts directed towards establishing comprehensive systems that integrate AI throughout the patient care continuum.
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Randomized Controlled Trial
METHA-NeP: effectiveness and safety of methadone for neuropathic pain: a controlled randomized trial.
In this randomized, double-blind, parallel placebo-controlled clinical trial, we evaluated the efficacy of methadone as an add-on therapy for people with chronic neuropathic pain (NP). Eighty-six patients were randomly assigned to receive methadone or placebo for 8 weeks. The primary outcome was the proportion of participants achieving at least 30% pain relief from baseline using a 100-mm pain Visual Analogue Scale. ⋯ No serious adverse events or deaths occurred. Discontinuation due to adverse events was reported in 2 participants in the methadone and none in the placebo arm. Methadone use as an add-on to an optimized treatment for NP with first- and/or second-line drugs provided superior analgesia, improved sleep, and enhanced global impression of change, without being associated with significant serious adverse effects that would raise safety concerns.
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Extensive audio-motor training and psychological stress can cause professional musicians acute overstrain-injury and chronic pain, resulting in damaged careers and diminished quality of life. It has also been previously shown that musicians might perceive pain differently than non-musicians. Therefore, the aim of our study was to quantify differences between musicians and non-musicians regarding their subjective responses to painful contact heat stimuli and assess how emotional traits might influence these responses. ⋯ The findings of this report justify musicians' repetitive sensorimotor training as an important model for plasticity and contribute to a better understanding of pain perception in musicians.
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Recurrence is common in chronic low back pain (CLBP). However, predicting the recurrence risk remains a challenge. The aim is to develop and validate a machine learning tool to predict the recurrence risk in patients with CLBP by using multidimensional medical information. ⋯ This study found that the STarT BACK tool is suboptimal in predicting the 2-year recurrence of chronic low back pain (CLBP). Our proposed multidimensional machine learning model aids clinicians in identifying patients at high risk for future recurrence of CLBP and in implementing appropriate preventive measures. Given the considerable healthcare resource utilisation associated with the frequent recurrence of CLBP, our novel model provides significant assistance in addressing this issue, demonstrating substantial clinical relevance.