complexity of interpretation

What is the role of artificial intelligence in cancer interpretation?

Artificial intelligence (AI) and machine learning are increasingly being used to analyze complex cancer datasets, including genomic, histopathological, and clinical data. AI can identify patterns and predict outcomes that may not be apparent to human analysts. However, the interpretation of AI-generated results requires careful validation and understanding of the underlying algorithms to ensure accuracy and reliability.

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