The Role of AI in Evaluating the Safety and Efficacy of NSAIDs

Abstract

Non-steroidal anti-inflammatory drugs are widely used to treat pain and inflammation, particularly in conditions like osteoarthritis. However, their use is often limited by safety concerns, such as gastrointestinal and cardiovascular adverse events. Artificial intelligence has emerged as a promising tool for enhancing the safety and efficacy of NSAIDs. This study investigates the role of AI in several key areas related to NSAID use in OA: 1) personalized medicine, 2) optimized drug delivery, and 3) real-time pain monitoring. In personalized medicine, AI algorithms are used to predict individual patient responses to NSAIDs and identify patients at high risk of adverse events, enabling tailored treatment strategies. AI is also applied to optimize drug delivery systems, aiming to enhance drug efficacy while minimizing systemic exposure and side effects. Furthermore, AI-powered pain monitoring systems are explored for real-time assessment and personalized pain management interventions. The study evaluates the performance of various AI models and systems, reporting relevant metrics such as accuracy, sensitivity, and drug concentration at the target site. The findings demonstrate the potential of AI to improve the safety and efficacy of NSAIDs in OA, paving the way for personalized and optimized treatment strategies.