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Expectations and Limitations of Artificial Intelligence in Blood Cancer Diagnosis
Charlotte Syrykh1, Sarah Bertoli2, Jean-Marc Alliot3
1Department of Pathology, University Hospital Toulouse, Cancer Research Center of Toulouse, Labex TOUCAN, Toulouse, France.
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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