AIMC Topic: Chronic Pain

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Establishing central sensitization inventory cut-off values in Dutch-speaking patients with chronic low back pain by unsupervised machine learning.

Computers in biology and medicine
BACKGROUND: Human Assumed Central Sensitization (HACS) is involved in the development and maintenance of chronic low back pain (CLBP). The Central Sensitization Inventory (CSI) was developed to evaluate the presence of HACS, with a cut-off value of 4...

The Role of Virtual Reality and Artificial Intelligence in Cognitive Pain Therapy: A Narrative Review.

Current pain and headache reports
PURPOSE OF REVIEW: This review investigates the roles of artificial intelligence (AI) and virtual reality (VR) in enhancing cognitive pain therapy for chronic pain management. The work assesses current research, outlines benefits and limitations and ...

The Role and Applications of Artificial Intelligence in the Treatment of Chronic Pain.

Current pain and headache reports
PURPOSE OF REVIEW: This review aims to explore the interface between artificial intelligence (AI) and chronic pain, seeking to identify areas of focus for enhancing current treatments and yielding novel therapies.

Prognostic subgroups of chronic pain patients using latent variable mixture modeling within a supervised machine learning framework.

Scientific reports
The present study combined a supervised machine learning framework with an unsupervised method, finite mixture modeling, to identify prognostically meaningful subgroups of diverse chronic pain patients undergoing interdisciplinary treatment. Question...

The Ethical Stewardship of Artificial Intelligence in Chronic Pain and Headache: A Narrative Review.

Current pain and headache reports
PURPOSE OF REVIEW: As artificial intelligence (AI) and machine learning (ML) are becoming more pervasive in medicine, understanding their ethical considerations for chronic pain and headache management is crucial for optimizing their safety.

Utilizing machine learning to predict post-treatment outcomes in chronic non-specific neck pain patients undergoing cervical extension traction.

Scientific reports
This study explored the application of machine learning in predicting post-treatment outcomes for chronic neck pain patients undergoing a multimodal program featuring cervical extension traction (CET). Pre-treatment demographic and clinical variables...

Cracking the Chronic Pain code: A scoping review of Artificial Intelligence in Chronic Pain research.

Artificial intelligence in medicine
OBJECTIVE: The aim of this review is to identify gaps and provide a direction for future research in the utilization of Artificial Intelligence (AI) in chronic pain (CP) management.

Robotic inguinal hernia repair: is the new Da Vinci single port platform providing any benefit?

Surgical endoscopy
BACKGROUND: The utilization of the robot for inguinal hernia repairs has increased in the past years. The new Da Vinci Single Port (SP) system provides the benefits of single-incision procedures and might overcome the technical difficulties of previo...

Development of a spontaneous pain indicator based on brain cellular calcium using deep learning.

Experimental & molecular medicine
Chronic pain remains an intractable condition in millions of patients worldwide. Spontaneous ongoing pain is a major clinical problem of chronic pain and is extremely challenging to diagnose and treat compared to stimulus-evoked pain. Although extens...