血液がん診断における人工知能の期待と限界
Charlotte Syrykh1, Sarah Bertoli2, Jean-Marc Alliot3
1Department of Pathology, University Hospital Toulouse, Cancer Research Center of Toulouse, Labex TOUCAN, Toulouse, France.
Blood cancer discovery
|January 26, 2026
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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