AI Medical Compendium Journal:
European journal of pain (London, England)

Showing 1 to 10 of 10 articles

Moving towards the use of artificial intelligence in pain management.

European journal of pain (London, England)
BACKGROUND AND OBJECTIVE: 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 prov...

Navigating the light and shadow of scientific publishing faced with machine learning and generative AI.

European journal of pain (London, England)
BACKGROUND: The public release of ChatGPT in November 2022 sparked a boom and public interest in generative artificial intelligence (AI) that has led to journals and journal families hastily releasing generative AI policies, ranging from asking autho...

Artificial intelligence to evaluate postoperative pain based on facial expression recognition.

European journal of pain (London, England)
BACKGROUND: Pain intensity evaluation by self-report is difficult and biased in non-communicating people, which may contribute to inappropriate pain management. The use of artificial intelligence (AI) to evaluate pain intensity based on automated fac...

Interpretation of cluster structures in pain-related phenotype data using explainable artificial intelligence (XAI).

European journal of pain (London, England)
BACKGROUND: In pain research and clinics, it is common practice to subgroup subjects according to shared pain characteristics. This is often achieved by computer-aided clustering. In response to a recent EU recommendation that computer-aided decision...

A machine-learned analysis of human gene polymorphisms modulating persisting pain points to major roles of neuroimmune processes.

European journal of pain (London, England)
BACKGROUND: Human genetic research has implicated functional variants of more than one hundred genes in the modulation of persisting pain. Artificial intelligence and machine-learning techniques may combine this knowledge with results of genetic rese...

Machine-learned analysis of quantitative sensory testing responses to noxious cold stimulation in healthy subjects.

European journal of pain (London, England)
BACKGROUND: Pain in response to noxious cold has a complex molecular background probably involving several types of sensors. A recent observation has been the multimodal distribution of human cold pain thresholds. This study aimed at analysing reprod...

Does conditioned pain modulation predict the magnitude of placebo effects in patients with neuropathic pain?

European journal of pain (London, England)
BACKGROUND: Conditioned pain modulation (CPM) is a validated measure of the function of endogenous pain inhibitory pathways. Placebo effects reflect top-down inhibitory modulation of pain. CPM and placebo effects are both influenced by expectations, ...

Machine learning on encephalographic activity may predict opioid analgesia.

European journal of pain (London, England)
BACKGROUND: Opioids are used for the treatment of pain. However, 30-50% of patients have insufficient effect to the opioid initially selected by the physician, and there is an urgent need for biomarkers to select responders to the most appropriate dr...

Conversational Agents to Support Pain Management: A Scoping Review.

European journal of pain (London, England)
BACKGROUND: Pain-related conditions are the leading cause of years lived with disability globally. Managing pain presents significant challenges, including the need to address multiple biopsychosocial factors and the difficulty in delivering evidence...

A Multidimensional Regression Model for Predicting Recurrence in Chronic Low Back Pain.

European journal of pain (London, England)
BACKGROUND: 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 mu...