Background and Aims Cancer-related pain is a significant problem for patients, and traditional pain management methods often fall short. The use of AI has the potential to improve pain management and patient outcomes. This study aimed to evaluate the efficacy of an AI-based pain management system for cancer patients.
Methods A randomized controlled trial was conducted in China with 100 cancer patients experiencing moderate to severe pain. The intervention group received pain treatment using AI-based system, while the control group received standard pain management. Pain levels were measured using a visual analog scale, and quality of life was assessed using the EuroQol 5-Dimension questionnaire.
Results The AI-based pain management system demonstrated a significant reduction in pain levels compared to standard pain management (p < 0.001). patients in the intervention group also reported higher levels of quality of life than the control group (p < 0.001).
Conclusions By offering tailored treatment regimens and real-time monitoring of symptoms and side effects, the application of AI in cancer-related pain management has the potential to enhance the lives of many cancer patients. However, there are also several challenges that must be addressed and overcome in order to ensure safe and effective implementation of AI-based pain management systems. Future research should focus on verifying and improving AI models, developing ethical and equitable frameworks for the use of AI in healthcare, and exploring new applications of AI in cancer-related pain management.
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