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Papers of the Week


Papers: 8 Mar 2025 - 14 Mar 2025


2025


Front Artif Intell


40051572


8

Predicting therapy dropout in chronic pain management: a machine learning approach to cannabis treatment.

Authors

Visibelli A, Finetti R, Roncaglia B, Poli P, Spiga O, Santucci A

Abstract

Chronic pain affects approximately 30% of the global population, posing a significant public health challenge. Despite their widespread use, traditional pharmacological treatments, such as opioids and NSAIDs, often fail to deliver adequate, long-term relief while exposing patients to risks of addiction and adverse side effects. Given these limitations, medical cannabis has emerged as a promising therapeutic alternative with both analgesic and anti-inflammatory properties. However, its clinical efficacy is hindered by high interindividual variability in treatment response and elevated dropout rates.