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AI technologies, particularly machine learning (ML), deep learning (DL), and natural language processing (NLP), are increasingly prevalent in healthcare. Large Language Models (LLMs) leverage deep learning and large datasets to process text-based content. However, the accuracy, reliability, and performance of AI algorithms must be comprehensively tested using diverse datasets to avoid overfitting and ensure proper validation.