Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges

Abstract Background The ability of machine learning (ML) to process and learn from large quantities of heterogeneous patient data is gaining attention in the precision oncology community. Some remarkable developments have taken place in the domain of image classification tasks in areas such as digit...

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Bibliographic Details
Main Authors: Vasileios Nittas, Kelly E. Ormond, Effy Vayena, Alessandro Blasimme
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Cancer
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Online Access:https://doi.org/10.1186/s12885-025-13621-2
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