Artificial intelligence-enhanced pain management: the NXTSTIM EcoAI platform.

Abstract

Chronic pain affects approximately 20% of the global population, leading to significant disability and economic burden. Traditional management strategies, including pharmacologic interventions and physical therapies, often provide limited relief and are associated with adverse effects. Non-invasive neuromodulation techniques, such as transcutaneous electrical nerve stimulation (TENS) and electrical muscle stimulation (EMS), have shown promise but are hindered by issues like inconsistent dosing and poor adherence. The integration of artificial intelligence (AI) into pain management offers a novel approach to personalize and optimize therapy. The NXTSTIM EcoAI platform exemplifies this innovation by combining TENS and EMS with machine learning (ML) algorithms, cloud-based analytics, and remote patient monitoring (RPM). This closed-loop system dynamically adjusts stimulation parameters based on real-time patient data, enhancing efficacy and user engagement. By continuously learning from individual responses and aggregated trends, EcoAI aims to provide tailored pain relief while addressing the limitations of conventional neuromodulation devices. This review explores the current landscape of pain management, the mechanisms of electrostimulation analgesia, and the potential of AI-driven digital therapeutics like EcoAI to revolutionize chronic pain treatment.