What is the clinical evidence from this study?

Study design: Systematic Review. Population: Chronic pain. Intervention: Artificial Intelligence (AI) interventions.

February 28, 2024Open Access

Artificial Intelligence Interventions in Chronic Pain Management: A Scoping Review (Preprint)

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Key result

AI interventions for chronic pain management currently lack sufficient evidence of effectiveness despite rapid development.

Why the study?

Artificial intelligence may improve chronic pain care globally, but research is still evolving, necessitating a synthesis of available evidence to evaluate its current scope.

Population

32 RCTs and non-RCTs evaluating AI-based interventions for chronic pain management

Design

Scoping review

Authors

AAAdesola Oyinkansola AbiodunSheffield Hallam University SDShravrantika Das ATAlan TaylorOregon State University

Discussion

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Implication

AI for chronic pain should not enter routine care yet; leaves open the need for rigorous effectiveness trials with interdisciplinary delivery.

Study Design

Type

Systematic Review

Structured PICO

Population

16,912 participants across 32 studies (RCTs and non-RCTs) with chronic pain (many with chronic low back pain). Cumulative mean age 50.0 years, 65.6% female, predominantly white Caucasians (80.1-97.7%). Key inclusion: minimum self-reported pain intensity, internet/device access, and proficiency in the intervention language. Key exclusion: severe chronic pain conditions, significant psychiatric illnesses, prior/planned surgeries, inability to engage in physical activity, and pregnancy.

Intervention

23 AI-based interventions delivered through mobile apps, chatbots (text messages), computer-based or equipment-based algorithms, and robots, focusing on exercises, cognitive behavioral therapy (CBT), and feedback.

The use of AI in delivering chronic pain interventions is developing rapidly, primarily through apps and chatbots for low back pain, though interdisciplinary integration and effectiveness evidence remain limited.

Limitations

Most interventions were not delivered by an interdisciplinary care team as recommended by the IASP
Many systems lack sufficient evidence to support effectiveness, which may limit translation to practice
most interventions were not delivered by an interdisciplinary care team
insufficient evidence to support effectiveness

Cite This Study

Abiodun et al. (2024) conducted a systematic review in Chronic pain. Artificial Intelligence (AI) interventions was evaluated. Artificial intelligence interventions for chronic pain management are developing rapidly but currently lack sufficient evidence of effectiveness and interdisciplinary care team delivery.

synapsesocial.com/papers/6a12a3fa4891eb3ecca40a46 https://doi.org/10.2196/preprints.57883

Topics

Artificial intelligence in cardiology

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Implication

AI for chronic pain should not enter routine care yet; leaves open the need for rigorous effectiveness trials with interdisciplinary delivery.

Artificial Intelligence Interventions in Chronic Pain Management: A Scoping Review (Preprint)

Discussion

Member takes

Implication

Study Design

Structured PICO

Limitations

Cite This Study

Topics

Artificial Intelligence Interventions in Chronic Pain Management: A Scoping Review (Preprint)

Discussion

Member takes

Implication

Study Design

Structured PICO

Limitations

Cite This Study

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Topics

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