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Artificial intelligence-enhanced pain management: the NXTSTIM EcoAI platform
Maja Green1,2, Krishnan Chakravarthy1,2
1Clinical Research Organization, Solaris Research Institute, Wilmington, DE, USA.
Pain Management
|July 1, 2025
Summary
Artificial intelligence (AI) enhances chronic pain management by personalizing electrical stimulation. The NXTSTIM EcoAI platform uses machine learning and remote monitoring for dynamic, tailored pain relief, improving upon traditional methods.
Area of Science:
- Neurology
- Biomedical Engineering
- Digital Health
Background:
- Chronic pain impacts 20% globally, causing disability and economic strain.
- Conventional treatments (pharmacologic, physical therapy) offer limited efficacy and adverse effects.
- Non-invasive neuromodulation (TENS, EMS) shows promise but faces challenges in dosing consistency and adherence.
Purpose of the Study:
- To explore AI's role in personalizing chronic pain management.
- To review the potential of AI-driven digital therapeutics for pain relief.
- To highlight the NXTSTIM EcoAI platform as an innovative solution.
Main Methods:
- Integration of Transcutaneous Electrical Nerve Stimulation (TENS) and Electrical Muscle Stimulation (EMS) with AI.
- Utilizing machine learning (ML) algorithms for dynamic parameter adjustment.
- Implementing cloud-based analytics and remote patient monitoring (RPM) for a closed-loop system.
Main Results:
- The EcoAI platform dynamically adjusts stimulation based on real-time patient data.
- This closed-loop system aims to enhance treatment efficacy and user engagement.
- Continuous learning from individual responses and aggregated data enables personalized therapy.
Conclusions:
- AI-driven digital therapeutics represent a novel approach to chronic pain management.
- The EcoAI platform demonstrates the potential to overcome limitations of current neuromodulation devices.
- Personalized, adaptive electrostimulation therapy holds promise for revolutionizing pain treatment.
