Diclofenac vs. Naproxen vs. Etoricoxib for OA Pain: An AI-Driven Comparative Analysis

Abstract

In this paper, Chronic pain affects a significant portion of the global population, impacting quality of life and posing substantial healthcare challenges.  Traditional pain management approaches often face limitations in terms of efficacy, individual patient variability, and the potential for adverse effects.  This research explores the transformative potential of artificial intelligence in revolutionizing pain relief medication strategies.  AI algorithms, leveraging diverse data sources such as patient medical history, genetic predispositions, lifestyle factors, and real-time physiological data, offer the ability to personalize pain treatment plans with unprecedented precision.  This study investigates the application of AI in several key areas of pain management.  Firstly, we examine the role of AI in predicting individual responses to different analgesic medications, enabling clinicians to select the most effective drug and dosage for each patient.  Secondly, we explore how AI can optimize drug delivery systems, ensuring targeted delivery to pain sites while minimizing systemic side effects.  Thirdly, we analyze the potential of AI-powered wearable devices to monitor pain levels in real-time, providing valuable data for personalized pain management interventions.  Our findings demonstrate the significant potential of AI to enhance pain relief outcomes.