Expectations and Limitations of Artificial Intelligence in Blood Cancer Diagnosis.

Journal: Blood cancer discovery
Published Date:

Abstract

In this commentary, we open the debate on what can be expected from artificial intelligence (AI) in the diagnosis of hematologic cancers. We discuss the key factors that make AI solutions robust, trustworthy, and, above all, generalizable, with particular emphasis on the importance of dataset quality in shaping the performance and effectiveness of AI models.

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