Artificial Intelligence (AI) is transforming precision medical diagnosis by leveraging computational algorithms to analyze vast datasets and improve diagnostic accuracy. This paper explores the pivotal role of AI in enhancing medical diagnostics, its applications across various specialties, and the implications for healthcare delivery. Key AI techniques discussed include machine learning, deep learning, and natural language processing, highlighting their integration into clinical decision-making processes. This review underscores AI's potential to revolutionize personalized medicine through tailored treatment strategies and improved patient outcomes.
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