AIMC Topic: Chronic Pain

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Automating the Addiction Behaviors Checklist for Problematic Opioid Use Identification.

JAMA psychiatry
IMPORTANCE: Individuals whose chronic pain is managed with opioids are at high risk of developing an opioid use disorder. Electronic health records (EHR) allow large-scale studies to identify a continuum of problematic opioid use, including opioid us...

AI for chronic pain in children: a powerful resource.

BMC pediatrics
Given the lack of scientific evidence, chronic pain represents an arduous challenge, especially in the pediatric field. In this complex scenario, artificial intelligence (AI) could support diagnosis, therapy, and research. However, the great potentia...

Clinical Efficacy of Multimodal Exercise Telerehabilitation Based on AI for Chronic Nonspecific Low Back Pain: Randomized Controlled Trial.

JMIR mHealth and uHealth
BACKGROUND: Exercise therapy is strongly recommended as a treatment for chronic nonspecific low back pain (CNSLBP). However, therapist-guided exercise therapy requires significant medical resources. Ordinary digital telerehabilitation affects efficac...

The Application of Artificial Intelligence to Enhance Spinal Cord Stimulation Efficacy for Chronic Pain Management: Current Evidence and Future Directions.

Current pain and headache reports
PURPOSE OF REVIEW: Chronic pain significantly impacts quality of life for millions globally, with spinal cord stimulation (SCS) as an established treatment for refractory chronic pain. However, traditional SCS therapies face limitations including inc...

Towards artificial intelligence application in pain medicine.

Recenti progressi in medicina
Pain is a complex, multidimensional experience involving significant challenges in both diagnosis and management. While acute pain serves as a critical warning mechanism, chronic pain encompasses intricate biological, psychological, and social compon...

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...

Conversations in Content and Context: Can We Teach AI to Chat About Drawings?

Studies in health technology and informatics
An innovative chatbot incorporates a drawing tool allowing users to draw pictures that symbolise the nature of their chronic pain. Rather than simply ask 'What did you draw?" what if the chatbot could engage the user to provide insight into symbols a...

Tabula Rasa: A Case Study in Chronic Pain Management Using Individual-Centric AI.

Studies in health technology and informatics
There are numerous behavioural, social and environmental factors that influence the symptomatology of a chronic health condition. These factors and how they manifest are often very specific to the individual, which creates challenges for applying mac...

Machine Learning in Pain Neuromodulation.

Advances in experimental medicine and biology
This chapter highlights the intersection of pain neuromodulation and machine learning (ML), exploring current limitations in pain management and how ML techniques can address these challenges. Neuromodulation technologies, such as spinal cord stimula...

Laparoscopic TAPP to treat inguinal hernia. Is the robot preferable? A review and cohort-study on anatomical landmarks of robotic-assisted transabdominal preperitoneal groin hernia repair (r-TAPP).

Cirugia espanola
In this review, the advantages of the robotic platform in rTAPP are presented and discussed. Against the background of the unchanged results of conventional TAPP for decades (approx. 10% chronic pain and approx. 3.5% recurrence), a new anatomy-guided...