Cecily O'Sullivan*
Artificial intelligence (AI) is revolutionizing the field of oncology by enhancing diagnostic accuracy and enabling personalized treatment strategies. AI-driven diagnostic tools, which utilize machine learning and deep learning algorithms, are being integrated into clinical workflows to analyze complex datasets, including imaging, genomics, and electronic health records. This article reviews the current landscape of AI-driven diagnostic tools in oncology, highlighting their applications, benefits, challenges, and future prospects. By improving early detection and treatment personalization, these tools hold the potential to significantly enhance patient outcomes in cancer care.
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